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Phoronix
实时热榜
1分钟前更新
  • 01
    QEMU 11.1 Released With Numerous Improvements
    For those using QEMU as part of the open-source virtualization stack, QEMU 11.1 is now available with a number of new feature enhancements and fixes...Michael Larabel
  • 02
    Redox OS Enjoys installer Improvements, Performance Enhancements
    A new blog post out today from the Redox OS crew highlights all of the interesting improvements made to this Rust-based, open-source operating system over the course of July...Michael Larabel
  • 03
    Intel CPU Microcode 20260811 Release Fixes Eight Security Issues
    Intel today published their 20260811 CPU microcode updates to fix a variety of issues for existing processors, including shipping the first new microcode images for Bartlett Lake and Wildcat Lake. The new microcode updates stretch back to Intel Core Gen10 processors...Michael Larabel
  • 04
    OpenAI Brings ChatGPT Desktop App To Linux
    OpenAI announced today they have brought their ChatGPT Desktop application to Linux and is currently in preview form...Michael Larabel
  • 05
    Analyzing Fedora's Slow Performance On The Framework Laptop 13 Pro With Intel Panther Lake
    As part of my recent Linux testing of the Framework Laptop 13 Pro I had recently benchmarked six Linux distributions on the Framework Laptop 13 Pro. CachyOS was the fastest to not much surprise but arguably the most surprising aspect was finding Fedora Workstation 44 typically running slower than the five other modern Linux distributions benchmarked. Here's a follow-up to that with more Fedora Linux benchmarks and the cause/workaround for Fedora's slower performance on the Intel Panther Lake lapMichael Larabel
  • 06
    Flatpak 1.19 Released With Nine Security Fixes
    Flatpak 1.19 was released today as a new development release along with the Flatpak 1.18.1 stable point release. Both of these releases ship a number of newly-discovered security issues with this app sandboxing and distribution tech...Michael Larabel
  • 07
    GNOME Designers Lay Out Some Of Their GNOME Shell Dreams
    GNOME interaction designer Tobias Bernard has shared some of the plans and ideas for long-term GNOME Shell improvements they have been eyeing for future GNOME releases...Michael Larabel
  • 08
    Up To 12.8x Improvement Observed For gup_test With New Linux MM Patches
    Linux developer Rik van Riel has pulled off some nice Linux kernel optimizations over the years and the Meta engineer has been working on another one around batching of look-ups with Linux's follow_page_mask() that is used for translating virtual addresses to the corresponding struct page...Michael Larabel
  • 09
    Raspberry Pi AXI PMU Driver Under Review For The Mainline Linux Kernel
    One of the Raspberry Pi device drivers that has remained elusive from the mainline Linux kernel has been for the performance monitoring unit (PMU) for the Broadcom AXI on all Raspberry Pi 1 through Raspberry Pi 5 models. Thanks to the work of a Google engineer, there is a new effort working to get a mainline Linux driver for the Raspberry Pi AXI PMU...Michael Larabel
  • 10
    FastFlowLM 1.0 Released Now As Part Of The AMD ROCm Umbrella
    FastFlowLM is the open-source software for getting vision, audio, embedding, and MoE large language models up and running on AMD Ryzen AI NPUs. FastFlowLM 1.0 released today and is also now part of the AMD ROCm software umbrella...Michael Larabel
  • 11
    Rusticl Now Supports cl_ext_float_atomics
    With the recent release of Mesa 26.2 the Rusticl OpenCL driver now supports OpenCL 3.1 on RadeonSI, LLVMpipe, Zink, Intel Iris, and Apple Asahi. But the work is not over and more improvements to this Rust-based, modern OpenCL driver continue to land...Michael Larabel
  • 12
    Claude Opus Helped Debug & Fix Lack Of Audio On Linux For HP OmniBook X Flip 14
    The HP OmniBook X Flip 14-kc0xxx is an AMD Ryzen AI 300 "Strix Point" powered laptop. While most AMD Strix Point laptops work fine on modern Linux distributions, with this particular HP OmniBook X there is no working audio with current mainline Linux kernel builds. With Claude Opus 5 acting as a debugging assistant and coding agent, patches are now pending to correct the audio support for this HP OmniBook X Flip 14 laptop to function on Linux...Michael Larabel
  • 13
    Open-Source NVIDIA "Nova" Driver Sees More Functionality For Linux 7.3
    Sent to DRM-Next this week was the DRM Rust core and driver changes targeting the upcoming Linux 7.3 merge window. There continues to be a lot of DRM core infrastructure work happening for Rust integration plus two leading Rust DRM drivers of Nova for open-source NVIDIA GPU support as the successor to Nouveau and then Tyr as the in-development Arm Mali driver...Michael Larabel
  • 14
    Fedora CoreOS To Enable systemd-oomd & zRAM Swap By Default
    Fedora's CoreOS as their container-optimized operating system will be moving to enable systemd-oomd by default with Fedora CoreOS 45. Additionally, swap on zRAM will be enabled by default too...Michael Larabel
  • 15
    Five More Lenovo Laptops To Report Fan Sensors With Linux 7.3
    In addition to more ASUS motherboards having working sensors with Linux 7.3, this next kernel version will also get several more Lenovo laptop models to be reporting their fan sensor information under Linux...Michael Larabel
  • 16
    Linux 7.3 Bringing A KCFI Optimization To Benefit Older Intel CPUs
    Expected to be merged during the upcoming Linux 7.3 merge window is a Kernel Control Flow Integrity (KCFI) improvement intended to benefit older Intel processors...Michael Larabel
  • 17
    Qt Toolkit To Introduce Edge AI Submodule, Initially For Vision AI With Qt
    The Qt Group has been working on various AI integrations for the Qt toolkit in recent times like a QML profiler skill for agentic development to help with performance profiling. They have also worked on Qt AI coding assistants and AI agents in the Qt Creator integrated development environment. Their latest AI use is now preparing to introduce a new module in the Qt toolkit itself for edge AI inferencing...Michael Larabel
  • 18
    Intel Xeon 678X Windows 11 vs. Ubuntu 26.04 Performance With The HP Z4 G6i
    HP recently launched their Z4 G6i workstation that I have been testing out the past few weeks. The HP Z4 G6i is powered by Granite Rapids WS with the review unit specifically being powered by the Intel Xeon 678X. As the unit shipped with Microsoft Windows 11 Pro and this being the first time I've had my hands on Granite Rapids WS, I took the opportunity to run some Windows 11 vs. Ubuntu 26.04 LTS performance benchmarks to see how the operating system performance compares for this 48 core / 96 thMichael Larabel
  • 19
    Linux Mint Improves Kernel Management & Setting System-Wide Environment Variables
    Linux Mint is out today with their July 2026 status update that highlights all the improvements made to their distribution over the past month...Michael Larabel
  • 20
    Meta Publishes Muse Glimmer As 30B Open Agentic Model
    The Meta Superintelligence Labs announced this morning they have released Muse Glimmer as their next large language model featuring 30 billion parameters for always-on local agent workflows. Muse Glimmer features open-source model weights under an Apache 2.0 license...Michael Larabel
  • 21
    Minor Optimization Coming For AMD Athlon XP Era Systems Running Linux
    A minor performance optimization is on the way to the Linux kernel for roughly two decade old CPUs that have SSE but lack SSE2. Among those CPUs to benefit are the AMD Athlon XP series, some early Sempron models, and some Intel Celeron and Pentium III models...Michael Larabel
  • 22
    Apple M1 Series SoCs To See ~1 Watt Power Savings With Linux 7.3
    In addition to Linux 7.3 slated to receive initial Apple M3 Pro / Max / Ultra SoC support, this next version of the Linux kernel is also set to bring some minor power savings for the Apple M1 series that remains the best supported Apple Silicon on Linux...Michael Larabel
  • 23
    Old SGI Drivers Being Removed In Linux 7.3 Over Security Concerns
    On top of various other Linux drivers for old hardware being removed due to noise generated by AI/LLM coding agents, there are more examples coming with Linux 7.3 as some old Silicon Graphics (SGI) drivers are being removed from the mainline Linux kernel over security concerns...Michael Larabel
  • 24
    Linux 7.2-rc7 Released Following Another Exhausting AI-Driven Week
    Linux 7.2-rc7 is now available for testing as we close in on the official Linux 7.2 release hopefully next weekend...Michael Larabel
  • 25
    CachyOS August 2026 Release Preps For Upcoming Server Edition
    CachyOS is out with its latest media refresh of the year. Beyond the usual desktop improvements for the performance-optimized CachyOS, they continue working toward the upcoming CachyOS Server Edition...Michael Larabel
  • 26
    Qualcomm Posts Linux Patches For Kuno SoC Support: Cortex-A7 Platform In 2026
    Qualcomm engineers posted a set of 15 patches today for the Linux kernel to enable the Qualcomm Kuno SoC support and their reference development platform...Michael Larabel
  • 27
    Mesa 26.3 Intel Driver Code Enables Large GRF Mode For Newer GPUs
    The Intel graphics compiler code in Mesa 26.3-devel has now enabled the Large GRF mode for Alchemist/DG2 and Battlemage/Xe2 graphics and VRT for Xe3 graphics...Michael Larabel
  • 28
    Dell Latitude 7320 2-in-1 Seeing Web Camera Support On Linux After Five Years
    Launched back in 2021 was the Dell Latitude 7320 2-in-1 business laptop/tablet powered by the at-the-time impressive Intel 11th Gen Core "Tiger Lake" processors. Remaining elusive until now has been the web cameras actually working on Linux, but patches posted this weekend finally are cracking that mystery at least for the user-facing web cam...Michael Larabel
  • 29
    FreeBSD 14.5 Beta 1 Released With Various Backports, Security Fixes
    For those still on the FreeBSD 14 N-1 stable series rather than the latest FreeBSD 15 series, FreeBSD 14.5 is working toward release to deliver various security fixes and backports...Michael Larabel
  • 30
    New Linux Patches Enable ASUS ROG Ryujin III Monitoring Support
    For those with an ASUS ROG Ryujin III all-in-one CPU liquid cooling setup catering to gamers, there are now patches pending to enable this AIO liquid cooling setup to work under Linux for monitoring...Michael Larabel
Planet ROS
实时热榜
22分钟前更新
  • 01
    ROS Discourse General: Is this Embodied Agent project useless?
    Hello, I was working on a Embodied Agent project in University for last 9 months. The problem is we are using a regular VLM + algorithmic methods to make the robot understand its environment and do missions given by the user. I was misdirected into creating a project that would require a large team and big budget, if this project’s idea would be even considered valid. At the beginning we thought this could be done and cheap AMR’s could benefit from it without data training like humanoid robots.
  • 02
    ROS Discourse General: Properly close windows processes, discussion about implementation
    So I went into a bit of a rabbit whole last week! CI on windows kept on getting this particular error: 2: [WARNING] [python.exe-2]: 'SIGINT' sent to process[python.exe-2] not supported on Windows, escalating to 'SIGTERM' Apparently, windows does not have a proper way to handle SIGINT, which means that it always straight goes to the ungraceful shutdown of SIGTERM. So I thought “oh! is that perhaps the reason why we keep getting all of the unhandy access violation ( 3221225477) that we see ever si
  • 03
    ROS Discourse General: Exploring a human-reviewed ROS 2 agentic pipeline generator
    I am prototyping **EdgeAI Forge**, a local-first engineering architecture intended to help generate, test, benchmark, and document ROS 2 and machine-vision pipelines. The initial target workflow is a ROS 2 vision pipeline generator. Given a requirement such as: > Read frames from a USB camera, run object detection, publish detections, expose health status, benchmark performance, and prepare deployment to Jetson. the system should eventually produce reviewed artifacts including: - package manifes
  • 04
    ROS Discourse General: Some Knowledge about ros
    Hi everyone! I’m a 2nd-year Mechanical Engineering student at NIT Jalandhar, currently exploring Robotics and Automation. I’m starting my journey with C++/Python, electronics, CAD and eventually ROS 2. My long-term goal is to work on real robotics projects and eventually pursue research/internship opportunities in robotics. I’m looking to connect with: • Students who are also learning Robotics/ROS 2 • People working on interesting robotics projects • Researchers/engineers who are open to collabo
  • 05
    ROS Discourse General: Robotics Student - Perception Systems Question
    Hi all, I’m an MEng Robotics & AI student at UCL working on perception/tracking pipelines (recently built a person re-ID and tracking evaluation pipeline, and a Gaussian-splat reconstruction quality evaluator). I’m trying to understand a specific problem better: how do teams currently notice when a perception or sensor-fusion stack has silently degraded in production, before it causes a visible failure? Do you rely on manual spot-checks, logging + alerts, a formal calibration schedule, or someth
  • 06
    ROS Discourse General: Advice on breaking into US robotics/embedded industry as a US citizen with no US history
    I’m a 4th-year Computer Engineering student in Palestine (Birzeit University, graduating 2027). I focus on embedded systems and robotics. I have US citizenship, but I never lived or worked in the US. There’s no embedded or robotics industry here at all, so I can’t really build experience or a network locally. I’m trying to move to the US, but I’m not sure where to start. My background: ROS2 control software for a multi-agent robotics platform, FreeRTOS firmware on custom boards, and a competitio
  • 07
    ROS Discourse General: ROS2 Dev Container Feature + Workspace Update
    I’ve been working on a ROS2 Dev Container Feature and just updated my VSCode ROS2 Workspace Template to use it instead of my pre-built ROS Docker images. The feature is here: GitHub Build software better, together GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Source: github.com GitHub - althack/devcontainers: My vscode devcontainers My vscode devcontainers The main thing I wanted was to select the RO
  • 08
    ROS Discourse General: Has a CPU shared-memory backend for rosidl::Buffer been explored?
    I have been looking into rosidl::Buffer and the current buffer backend support, particularly for large variable-length payloads such as images and point clouds. One idea I am interested in is a CPU shared-memory backend for rosidl::Buffer . I realize that this overlaps to some extent with functionality that already exists at lower layers. For example, some middleware / RMW implementations already provide shared-memory transport or other zero-copy optimizations. Depending on the implementation, m
  • 09
    ROS Discourse General: Experimental order-sensitive consistency residual for Odometry/TF streams — minimal C++ reproducer
    I briefly mentioned an order-sensitive state diagnostic in another thread, but that was the wrong place for it. Posting it separately here with an executable reproducer. The idea is simple: three consecutive pose samples in, one scalar residual out. It quantifies how much the result shifts when you change the nesting order of state composition. Synthetic test results: Smooth linear motion: 4.9848e-08 Abrupt pose/orientation jump: 0.000881456 This is absolutely not a validated anomaly detector ye
  • 10
    ROS Discourse General: [GSoC 2026] ROS 2 Client Library Performance Monitoring: Midterm Progress Update
    Organization: OSRF Contributor: Ammaar Ahmed ( GitHub , LinkedIn ) Mentors: Kimberly McGuire ( GitHub ) and Skyler Medeiros ( GitHub ) GSoC project: ROS 2 Client Library Performance Monitoring Repository: ros2-performance-monitoring Live dashboard: performance.ammaar.lol Hello everyone, I am Ammaar Ahmed. I am pursuing a bachelor’s degree in Robotics and Automation Engineering at FAST NUCES Islamabad, Pakistan. My interest in ROS began about a year and a half ago, when I started building robots
  • 11
    ROS Industrial: From URDF to SimReady: What a Robotiq Gripper Taught Us About Simulation Assets
    For industrial robotics teams, simulation is useful only when the important parts of the simulated system behave enough like the real system to support better engineering decisions. A robot arm that looks right but reaches to the wrong pose is an obvious problem. A gripper that looks right but responds differently during contact can be harder to notice, and in manipulation work it may matter even more. At Southwest Research Institute, we have been developing and evaluating Physical AI approaches
  • 12
    ROS Discourse General: Last day to purchase regular price ROSCon Global tickets is Monday, August 24th
    Hi Everyone, Quick reminder, the last day to purchase regular price tickets for ROSCon Global in Toronto is Tue, Aug 25, 2026 6:59 AM UTC . 1 post - 1 participant Read full topic
  • 13
    ROS Discourse General: Announcing protoros2: use protobuf in ros2 without compromise
    Hi ROS Community! For years, there has been a strong and consistent demand for seamless Protobuf serialization in ROS/ROS 2. While there are excellent existing tools in the community, integrating them cleanly into a high-performance, production-ready pipeline often comes with friction. Today, we’re excited to introduce protoros2 — a middleware wrapper and orchestration engine designed to provide zero-intrusive protobuf support for ROS 2. ZhenshengLee/protoros2: use protobuf in ros2 without compr
  • 14
    ROS Discourse General: Boston Robot Hackers announces August Monthly Meeting
    Boston Robot Hackers is pleased share info about our August meeting: Topic: Forward & Inverse Kinematics: The Math: From joint angles to end-effector poses" Speaker: Shivam Chopra, PhD Date: August 6 2026 Time: 7:00pm to 9:00pm Location: Artisans Asylum, Alston, Boston Shivam will introduce the concepts of Forward and Inverse Kinematics, explain where it fits into robotics (and how important it is!) and get into technical details of how to apply it and how the math works. Also featured two light
  • 15
    ROS Discourse General: ADEL 2.0 – C++/Rust Deterministic Execution Layer for Microsecond Edge Compute & Robotics
    Hi ROS Community! We are opening early-access evaluations for ADEL 2.0 (Autonomous Deterministic Executive Layer), a bare-metal C++/Rust execution engine built for ultra-low latency, zero-jitter control loops. While designed for microsecond satellite maneuver planning under severe compute bounds, ADEL 2.0 provides immediate utility for terrestrial robotics, BVLOS drone flight controllers, and autonomous hardware running ROS/ROS2 node topologies. Key Highlights: Microsecond-latency spatial trajec
  • 16
    ROS Discourse General: ROS 2 Realtime Support Package
    We have been working on adding real-time functionality to rcl and rclcpp since 2022. In response to this proposal, we have created a new package that provides real-time functionality without changing the existing packages. esol-community/ros2_realtime_support Background The previous discussion is as follows: ROS lacks a unified mechanism to formally support real-time functionality, and we have tried to achieve this by adding functionality to rcl and rclcpp . On the other hand, it has been pointe
  • 17
    ROS Discourse General: Uv on ROS 2: a field report on workspace-level virtual environments — five failure modes and minimal colcon/ament proposals
    TL;DR : A workspace-level uv-managed venv works on stock apt-installed ROS 2 — including a PyTorch+CUDA node — but we hit five reproducible failure modes on the way (verified on Jazzy; none of the mechanisms are Jazzy-specific). Key measurement: the known shebang workaround ( [build_scripts] executable = /usr/bin/env python3 ) does not cover --symlink-install , so when colcon is launched from the system Python there is currently no complete workaround. Below are four minimal change proposals for
  • 18
    ROS Discourse General: VectorField Planner: 7 µs global path queries with strict optimality — REST API for occupancy grids, Nav2 plugin on roadmap
    Hi all, I’ve been working on a global planning engine aimed at warehouse/fleet deployments, and I just opened a free API tier. I’d love feedback from people running real Nav2 fleets. What it does You upload an occupancy grid once. It solves a field for your goal (charging station, pick station, dock), and from then on every path query — from any start cell — returns a strictly optimal path in microseconds, without re-searching the map. The pitch for fleet operators: the cost of global planning s
  • 19
    ROS Discourse General: A new tool to create ros2 package with executables, c++ and Python node in one package
    site: GitHub - yjphhw/ros2_pkg_create: A utility script for generating ROS 2 package templates that support both C++ and Python nodes, simplifying mixed-language development within a single package. · GitHub useage is very easy, just download the ros2_pkg_create.py and put in a workspace(direction), and run python3 ros2_pkg_create <package_name> such as create demo_pkg: python3 ros2_pkg_create demo_pkg output is : 正在生成混合功能包: my_pkg 已创建: src/my_pkg/CMakeLists.txt 已创建: src/my_pkg/package.xml 已创建:
  • 20
    ROS Discourse General: How do you understand the architecture of a large ROS 2 workspace?
    Hi everyone, I’m curious about how other ROS 2 developers approach understanding a large or unfamiliar workspace. When joining an existing project or reviewing a large codebase, I often find myself asking questions like: Which packages depend on each other? Which nodes communicate together? What topics, services, and actions are used? Are there isolated nodes or communication issues? Does the implementation still match the intended architecture? How do you quickly get a high-level understanding
  • 21
    ROS Discourse General: Jenkins version upgrade of build.ros2.org [Scheduled Buildfarm Downtime]
    Hello ROS Community, The OSRF Infrastructure Project is planning to update the Jenkins version of https://build.ros2.org as part of our ongoing efforts to maintain and improve the ROS buildfarm infrastructure. To facilitate this migration, the following services will experience downtime during the maintenance window: https://build.ros2.org (Jenkins) will be temporarily unavailable or in shutdown mode (not running jobs). The migration is scheduled to begin on Monday Mon, Aug 3, 2026 11:30 AM UTC
  • 22
    ROS Discourse General: Chinese legged/humanoids banned in USA, what are the alternatives?
    Just saw that newly imported Chinese legged and humanoid robots are now banned in USA , what other alternatives are there? I know Unitree had ROS interface in both Go2 dog and G1 humanoid (and you could jailbreak cheap base version instead of expensive research one). What other alternatives are there? Will this spur open source/open hardware design? Again, I’m adding poll of what legged/humanoid robots have you used/planned to use What legged/humanoid robots have you used/will use? Chinese( Un
  • 23
    ROS Discourse General: Learning Zenoh: A New Communication Layer for ROS 2
    Hi everyone, Recently, I’ve been learning more about Zenoh and its role in the ROS 2 ecosystem. Since most ROS 2 applications rely on DDS for communication, I was curious about how Zenoh approaches the same problem and where it can provide advantages. From what I’ve learned so far, Zenoh offers a lightweight communication layer that aims to reduce latency, minimize bandwidth usage, and simplify communication across distributed systems. These characteristics make it particularly interesting for r
  • 24
    ROS Discourse General: YERP + rosbag2 snapshot: can we capture why a ROS perception latency spike happened?
    [Update] Thanks to the great feedback in the comments regarding rosbag2 snapshot , I have updated the original post to clarify how YERP and rosbag2 snapshot work perfectly together as a trigger-and-capture pair! Hi everyone, Recently I have been thinking about a very practical debugging problem in ROS / ROS2 perception pipelines, especially for AMRs and mobile robots. When a robot behaves strangely in the field, the usual workflow is often: rosbag record everything. Bring the massive data back.
  • 25
    ROS Discourse General: [Release] Gazebo ROS Text-to-Speech (TTS) Plugin – From Gazebo Classic to Gazebo Harmonic
    Hello ROS & Gazebo Community, We’re excited to announce the release of gz_ros_tts, an open-source ROS 2 Text-to-Speech (TTS) Plugin for the latest Gazebo Harmonic. This release is the Gazebo Classic and Gazebo harmonic ROS TTS Plugin, bringing the same idea to the modern Gazebo ecosystem with ROS 2. # Project Evolution ## Version 1 — Gazebo Classic ROS TTS Plugin The first version of the plugin introduced Text-to-Speech support for robots running in Gazebo Classic through ROS. ### Supported
Product Hunt
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  • 01
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    ScreenMark
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    The operating system for legal workShyam Sunder
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2分钟前更新
Qoder
官方博客
9小时前更新
Qwen
研究与发布
4小时前更新
  • 01
    Qwen3.8-Max: A New Bar for Coding and Cowork
    Today, we are officially releasing Qwen 3.8-Max, the most capable model in the Qwen family to date. This also marks the first time we will open-source the weights of a Qwen-Max-class model — the open weights will be released next week. BuilQwenTeam
  • 02
    Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
    We are launching Qwen-Image-3.0, the third-generation foundational image generation model in the Qwen-Image series. If the keyword for Qwen-Image-1.0 was "Precision", and the keywords for Qwen-Image-2.0 were "Precision, Variety, CompletenesQwenTeam
  • 03
    Qwen-AgentWorld: Language World Models for General Agents
    Today we release Qwen-AgentWorld, a native language world model that simulates agent environments across seven domains: Native world modeling: environment modeling is the training objective from continual pre-training onward (CPT → SFT → RLQwenTeam
  • 04
    Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence
    The Qwen family of foundation models already gives strong perception and reasoning about the physical world. But seeing is not acting: the gap between vision and language understanding and physical control remains the central bottleneck forQwenTeam
  • 05
    Qwen-RobotNav: A Scalable Navigation Model Designed for an Agentic Navigation System
    Agentic navigation systems require a base navigation model with a configurable navigation context protocol: instruction following, object search, target tracking, and autonomous driving share the same perception-planning backbone yet demandQwenTeam
  • 06
    Qwen-RobotWorld: Boundless Worlds for Embodied Agents
    Embodied intelligence requires agents to perceive, reason about, and act within physical environments. World models offer a scalable path forward — but current approaches face a fundamental tension. General video generation models learn ricQwenTeam
  • 07
    Qwen-RobotManip: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
    Qwen-Omni × Qwen-RobotManip — Qwen-Omni observes the scene, randomly proposes manipulation tasks via speech, and judges execution in real time. Each video shows Qwen-RobotManip completing tasks on the fly with no pre-defined task list, demQwenTeam
  • 08
    Qwen3.7-Plus: Multimodal Agent Intelligence
    Today we introduce Qwen3.7-Plus — a multimodal agent model that unifies vision and language into a single, versatile agent foundation. Building on Qwen3.7's strong text backbone, Qwen3.7-Plus delivers a comprehensive upgrade in vision-languQwenTeam
  • 09
    Qwen-VLA: From Understanding the World to Acting in It
    Over the past few years, multimodal large language models have become increasingly capable of understanding images, videos, and real-world scenes. They can recognize objects, reason about spatial relationships, answer visual questions, andQwenTeam
  • 10
    Qwen3.7: The Agent Frontier
    Today we introduce Qwen3.7-Max, our latest proprietary model designed for the agent era. Qwen3.7-Max is built to be a versatile agent foundation — equally capable of writing and debugging code, automating office workflows, and sustaining auQwenTeam
  • 11
    Qwen3.5-LiveTranslate: From Sound to Sight, From Word to Right
    Qwen3.5-LiveTranslate-Flash is the latest simultaneous interpretation model in the Qwen family, built on top of Qwen3.5-Omni. It delivers real-time, multimodal translation that not only hears and translates speech, but also sees and understQwenTeam
  • 12
    Qwen-Scope: Decoding Intelligence, Unleashing Potential
    Interpretability research has emerged as a critical area for understanding LLM behaviors, informing performance optimization, and enabling more controllable model outputs. Today, we are excited to introduce Qwen-Scope, an interpretability tQwenTeam
  • 13
    FlashQLA: CP-/Bwd-Friendly Fused Linear Attention Kernels for GDN
    Following the release of Qwen3-Next, Gated Delta Network (GDN) has become the workhorse attention layer across the Qwen family — from Qwen3-Next-80B-A3B all the way to the subsequent Qwen3.5 / Qwen3.6 series. As models scale to 397A17B / 12QwenTeam
  • 14
    Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model
    Following the launch of Qwen3.6-Plus and Qwen3.6-35B-A3B, we are excited to open-source Qwen3.6-27B — a dense 27-billion-parameter multimodal model at the scale the community has been asking for most. Still supporting both multimodal thinkiQwenTeam
  • 15
    Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving
    Following the release of Qwen3.6-Plus, we are sharing an early preview of our next proprietary model: Qwen3.6-Max-Preview. Compared to Qwen3.6-Plus, this preview release brings stronger world knowledge and instruction following, along withQwenTeam
  • 16
    Qwen3.6-35B-A3B: Agentic Coding Power, Now Open to All
    Following the launch of Qwen3.6-Plus, we are excited to open-source Qwen3.6-35B-A3B — a sparse yet remarkably capable mixture-of-experts (MoE) model with 35 billion total parameters and only 3 billion active parameters. Despite its efficienQwenTeam
  • 17
    Qwen3.6-Plus: Towards Real World Agents
    Following the release of the Qwen3.5 series in February, we are thrilled to announce the official launch of Qwen3.6-Plus. Available immediately via our API, this release represents a massive capability upgrade over its predecessor. Most notQwenTeam
  • 18
    Qwen3.5-Omni: Scaling Up, Toward Native Omni-Modal AGI
    Qwen3.5-Omni is Qwen’s latest generation of fully omnimodal LLM, supporting the understanding of text, images, audio, and audio-visual content. Both the Thinker and Talker in Qwen3.5-Omni adopt the Hybrid-Attention MoE. Qwen3.5-Omni seriesQwenTeam
  • 19
    Qwen3.5-Max-Preview Now Available on Arena
    We are pleased to announce the deployment of Qwen3.5-Max-Preview on Arena, where it has demonstrated exceptional performance during the preliminary evaluations. As we proceed with final optimizations ahead of the release within the next twoQwenTeam
  • 20
    Qwen3.5: Towards Native Multimodal Agents
    We are delighted to announce the official release of Qwen3.5, introducing the open-weight of the first model in the Qwen3.5 series, namely Qwen3.5-397B-A17B. As a native vision-language model, Qwen3.5-397B-A17B demonstrates outstanding resuQwenTeam
  • 21
    Qwen-Image-2.0: Professional infographics, exquisite photorealism
    We are launching Qwen-Image-2.0, a next-generation foundational image generation model. The key highlights of Qwen-Image-2.0 include: Professional Typography Rendering: Supports 1k-token instructions for direct generation of professional inQwenTeam
  • 22
    Qwen3-Coder-Next: Pushing Small Hybrid Models on Agentic Coding
    --- We introduce Qwen3-Coder-Next, an open-weight language model designed specifically for coding agents and local development. Built on top of Qwen3-Next-80B-A3B-Base, which adopts a novel architecture with hybrid attention and MoE, Qwen3-QwenTeam
  • 23
    Qwen3-ASR & Qwen3-ForcedAligner is Now Open Sourced: Robust, Streaming and Multilingual!
    Qwen3-ASR family includes two powerful all-in-one speech recognition models and a novel non-autoregressive speech forced alignment model. Qwen3-ASR-1.7B and Qwen3-ASR-0.6B are ASR models that support language identifiQwenTeam
  • 24
    Pushing Qwen3-Max-Thinking Beyond its Limits
    We present Qwen3-Max-Thinking, our latest flagship reasoning model. By scaling up model parameters and leveraging substantial computational resources for reinforcement learning, Qwen3-Max-Thinking achieves significant performance improvemenQwenTeam
  • 25
    Qwen3-TTS Family is Now Open Sourced: Voice Design, Clone, and Generation!
    Qwen3-TTS is a series of powerful speech generation capabilities developed by Qwen, offering comprehensive support for voice clone, voice design, ultra-high-quality human-like speech generation, and natural language-QwenTeam
  • 26
    Qwen3-VL-Embedding and Qwen3-VL-Reranker: For the Next Generation of Multimodal Retrieval
    In June 2025, we open-sourced the text-oriented Qwen3-Embedding and Qwen3-ReRanker model series, providing best-in-class performance across a variety of downstream tasks, including multilingual text retrieval, clustering, and classificationQwenTeam
  • 27
    Qwen-Image-2512: Finer Details, Greater Realism
    We are excited to introduce Qwen-Image-2512, the December update of Qwen-Image’s text-to-image foundational model. You are welcome to try the latest model at Qwen Chat. Compared to the base Qwen-Image model released in August, Qwen-Image-25QwenTeam
  • 28
    Qwen-Image-Edit-2511: Improve Consistency
    We are excited to introduce Qwen-Image-Edit-2511, an enhanced version over Qwen-Image-Edit-2509, featuring multiple improvements—including notably better consistency. To try out the latest model, please visit Qwen Chat and select the ImageQwenTeam
  • 29
    Qwen3-TTS Steps Up: Voice Cloning and Voice Design!
    Qwen3-TTS family has launched two new models: the voice design model Qwen3-TTS-VD-Flash (accessible via the Qwen API) and the voice cloning model Qwen3-TTS-VC-Flash (accessible via the Qwen API). Key Features: Voice Design:Qwen3-TTS-VD-FlasQwenTeam
  • 30
    Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
    Today, we are excited to introduce Qwen-Image-Layered, a model capable of decomposing an image into multiple RGBA layers. This layered representation unlocks inherent editability: each layer can be independently manipulated without affectinQwenTeam
  • 31
    Qwen3-Omni-Flash-2025-12-01:Hear You. See You. Follow Smarter!
    Qwen3-Omni is a next-generation native multimodal large model capable of seamlessly processing multiple input modalities—including text, images, audio, and video—and generating both text and natural-sounding speech outputs simultaneously viQwenTeam
  • 32
    SAPO: A Stable and Performant Reinforcement Learning Method for Training Large Language Models
    Reinforcement learning (RL) has become a core ingredient in advancing the reasoning capabilities of large language models (LLMs). Modern RL pipelines enable models to solve harder mathematical problems, write complex code, and reason over mQwenTeam
  • 33
    Qwen3-TTS Update! 49 Timbres + 10 Languages + 9 Dialects
    Qwen3-TTS-Flash is a flagship text-to-speech model that supports multi-timbre, multi-lingual, and multi-dialect speech synthesis. It aims to produce natural and expressive speech and is available via Qwen API. Major Improvements: Richer TimQwenTeam
  • 34
    Qwen DeepResearch: When Inspiration Becomes Its Own Reason
    Click here to experience the latest Qwen DeepResearch _How does inspiration die?_ It usually doesn’t die from “not being good enough”, but from being “too much trouble”. When a thought flashes, it’s still fragile and unverified. After a briQwenTeam
RFC Editor
实时热榜
9小时前更新
  • 01
    RFC 10024: Post-Quantum Traditional (PQ/T) Hybrid Key Agreement Mechanisms for TLS 1.3
    This document defines three hybrid key agreement mechanisms for TLS 1.3 -- X25519MLKEM768, SecP256r1MLKEM768, and SecP384r1MLKEM1024 -- that combine the post-quantum ML-KEM (Module-Lattice-Based Key Encapsulation Mechanism) with an ECDHE (Ephemeral Elliptic Curve Diffie-Hellman) exchange.RFC Editor
  • 02
    RFC 10029: DNS Multiple QTYPEs
    This document specifies a method for a DNS client to request additional DNS record types to be delivered alongside the primary record type specified in the Question section of a DNS QUERY (OpCode=0).RFC Editor
  • 03
    RFC 10022: IMAP UIDBATCHES Extension
    The UIDBATCHES extension of the Internet Message Access Protocol (IMAP) allows clients to retrieve Unique Identifier (UID) ranges that partition a mailbox's messages into equally sized batches. This enables clients to perform operations such as FETCH, SEARCH, and STORE on specific message batches, providing better control over resource usage and response sizes. The extension is particularly useful with the UIDONLY mode where sequence numbers are unavailable.RFC Editor
  • 04
    RFC 10023: The "_for-sale" Underscored and Globally Scoped DNS Node Name
    This document defines an operational convention that uses the reserved underscored DNS leaf node name "_for-sale" to indicate the parent domain name is available for purchase. The convention can be deployed without disrupting existing operations, and it may be applied even when the domain name is still actively in use.RFC Editor
  • 05
    RFC 10019: Zeroconf Multicast Address Allocation Problem Statement and Requirements
    This document surveys current problems with existing protocols for automatically assigning multicast IP addresses in zero-configuration (zeroconf) networking environments. It addresses key challenges, such as link-layer address collisions, hardware limitations, multicast snooping inefficiencies, and the need to avoid manual configuration. Based on these challenges, it derives requirements for a lightweight, decentralized solution for dynamically allocating unique multicast group addresses without central coordination. The document presents explicit requirements covering discovery, allocation, conflict detection and resolution, and lease management. It also evaluates considerations specific to IPv6 and IPv4 multicast address ranges, and identifies approaches that are unsuited for zeroconf deployment. This foundation serves as a reference for developing future solutions for multicast address allocation that operate autonomously within local networks.RFC Editor
  • 06
    RFC 10013: Entity Attestation Token (EAT) Measured Component
    The term "measured component" refers to an object within the attester's target environment whose state can be sampled and typically digested using a cryptographic hash function. Examples of measured components include firmware stored in flash memory, software loaded into memory at start time, data stored in a file system, or values in a CPU register. This document provides the information model for the measured component and two associated data models. This separation is intentional: The JSON and Concise Binary Object Representation (CBOR) serializations, coupled with the media types and associated Constrained Application Protocol (CoAP) Content-Formats, enable the immediate use of the semantics within the Entity Attestation Token (EAT) framework. Meanwhile, the information model can be reused in future specifications to provide additional serializations, for example, using ASN.1.RFC Editor
  • 07
    RFC 9996: Media Types for Protocol Buffers
    This document registers media types for Protocol Buffers, a common extensible mechanism for serializing structured data.RFC Editor
  • 08
    RFC 10026: Operational Recommendations for DNSSEC Delegation Signer (DS) Automation
    Enabling support for automatic acceptance of DNSSEC Delegation Signer (DS) parameters from the Child DNS operator (via RFCs 7344, 8078, and 9615) requires the Parental Agent, often a registry or registrar, to make a number of technical decisions around acceptance checks, error and success reporting, and multi-party issues such as concurrent updates. This document describes recommendations about how these points are best addressed in practice.RFC Editor
  • 09
    RFC 9997: YANG-CBOR: Allocating SID Ranges for Private Enterprise Number (PEN) Holders
    YANG-CBOR (RFC 9254, "Encoding of Data Modeled with YANG in the Concise Binary Object Representation (CBOR)") defines YANG Schema Item iDentifiers (YANG SIDs), globally unique 63-bit unsigned integers used to identify YANG items. RFC 9595 ("YANG Schema Item iDentifier (YANG SID)") defines ways to allocate these SIDs using IANA registries. The present specification employs these SID allocation mechanisms to allocate ranges of 100 000 SIDs (representation size 64 bits) to each holder of an IANA Private Enterprise Number (PEN) of a value below 1 000 000. Holders of PENs of values smaller than 100 000 are also allocated ranges of 10 000 SIDs (representation size 32 bits).RFC Editor
  • 10
    RFC 10004: Certificate Management over CMS (CMC): Compliance Requirements
    This document provides a set of compliance statements about the Certificate Management over CMS (CMC) enrollment protocol. The ASN.1 structures and the transport mechanisms for the CMC enrollment protocol are covered in other documents (RFCs 10002 and 10003). This document provides the information needed to make a compliant version of CMC. This document obsoletes RFCs 5274 and 6402.RFC Editor
  • 11
    RFC 10003: Certificate Management over CMS (CMC): Transport Protocols
    This document defines a number of transport mechanisms that are used to move Certificate Management over CMS (CMC) messages. The transport mechanisms described in this document are HTTP, file, mail, and TCP. This document obsoletes RFCs 5273 and 6402.RFC Editor
  • 12
    RFC 10002: Certificate Management over CMS (CMC)
    This document defines the base syntax for CMC, a Certificate Management protocol using the Cryptographic Message Syntax (CMS). This protocol addresses two immediate needs within the Internet Public Key Infrastructure (PKI) community: CMC also requires the use of the transport document (RFC 10003) and the requirements usage document (RFC 10004) along with this document for a full definition. This document obsoletes RFCs 5272 and 6402.RFC Editor
  • 13
    RFC 10015: Deprecating Obsolete Key Exchange Methods in TLS 1.2 and DTLS 1.2
    For (D)TLS 1.2, this document deprecates the use of two key exchanges, namely Diffie-Hellman (DH) over a finite field and RSA. It also discourages the use of static Elliptic Curve Diffie-Hellman (ECDH) cipher suites. These prescriptions apply only to (D)TLS 1.2, since (D)TLS 1.0 and TLS 1.1 are deprecated by RFC 8996 and (D)TLS 1.3 either does not use the affected algorithms or does not share the relevant configuration options. (There is no DTLS version 1.1.) This document updates RFCs 4162, 4279, 4346, 4785, 5246, 5288, 5289, 5469, 5487, 5932, 6209, 6347, 6367, 6655, 7905, 8422, and 9325 to either deprecate or discourage the use of cipher suites using the above key exchange methods in (D)TLS 1.2 connections.RFC Editor
  • 14
    RFC 9955: Hybrid Signature Spectrums
    This document describes classification of design goals and security considerations for hybrid digital signature schemes, including proof composability, non-separability of the component signatures given a hybrid signature, backwards and forwards compatibility, hybrid generality, and Simultaneous Verification (SV).RFC Editor
  • 15
    RFC 9852: New Protocols Using TLS Must Require TLS 1.3
    TLS 1.3 is widely used, has had comprehensive security proofs, and improves both security and privacy deficiencies in TLS 1.2. Therefore, new protocols that use TLS must require TLS 1.3. As DTLS 1.3 is not widely available or deployed, this prescription does not pertain to DTLS (in any DTLS version); it pertains to TLS only. This document updates RFC 9325. It discusses post-quantum cryptography and the security and privacy improvements in TLS 1.3 as the rationale for the update.RFC Editor
Robohub
实时热榜
9小时前更新
  • 01
    A ‘5-in-1’ seed-sized surgical robot
    Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed a tiny seed-sized robot that can navigate across soft and uneven surfaces to perform five surgical functions wirelessly, paving the way for developing robots to make surgeries and medical treatments more precise. The miniature robot, measuring just 4.4 mm in length and controlled by weak […]Nanyang Technological University, Singapore
  • 02
    AI agents create virtual playgrounds to help robots get crucial training data
    A new system developed at MIT uses three agents to piece together the objects, walls, and overall look of a 3D scene. Its realistic recreations of indoor spaces help robots practice skills and try out different ways of doing tasks before they’re powered on. Image: Tim Malieckal/MIT CSAIL using assets from the researchers. By Alex […]MIT News
  • 03
    Robots in society, business and culture: July 2026
    By Emmet Cole This new monthly series from IEEE RAS showcases a selection of robotics stories from society, business, research, and culture, as we track the field’s ongoing journey from specialized industrial machines to an increasingly visible social phenomenon. Technological isolationism or prudence? On July 28, the United States’ Federal Communications Commission blocked new foreign-made […]IEEE Robotics and Automation Society (RAS)
  • 04
    Simulated zebrafish and a vision-equipped robotic fish reveal how the body shapes brain circuits
    Image credit: Olivier Porchet, Biorobotics Laboratory, EPFL When a fish holds its position against a current in a river, its brain must figure out how fast to swim and how to steer to offset the water flow. Most fish use vision to register the world sliding past, detect optic flow speed and direction, and their […]Xiangxiao Liu
  • 05
    Researchers develop modular nanorobot
    Illustration of the versatile nanorobot. It is 150 times smaller than the diameter of a human hair. (Illustration: Marina Bräm) By Angelika Jacobs Nanorobots sound like science fiction: tiny machines for medicine, the environment, or industry. In fact, nanorobotics has become a rapidly growing field of research. It is considered a promising approach, for example, […]University of Basel
  • 06
    Surviving the paper deluge: a one-year study in learning from demonstration
    By Emmet Cole With the explosion of robotics research, staying current in fields like Learning from Demonstration (LfD) is a monumental challenge. Is AI the solution to the “paper deluge,” or is it part of the problem? Read the article preview below to learn more! Download the full paper: Surviving the Paper Deluge. Authors: Aude […]IEEE Robotics and Automation Society (RAS)
  • 07
    Soft robotic heart offers new way to study disease and test life-saving devices
    The soft robotic model of the human heart, developed at UNSW. Credit: UNSW/Richard Freeman. UNSW researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices. Researchers at UNSW Sydney have developed a fully synthetic soft robotic heart […]University of New South Wales
  • 08
    A mini robot to simplify dental treatment
    A miniature robot developed at the University of Basel could help prepare teeth for a crown. Photo: University of Basel, Catherine Weyer. By Angelika Jacobs A routine check-up at the dentist ends with bad news: tooth decay has left a large cavity, and the tooth needs a crown. The treatment requires several follow-up appointments. During […]University of Basel
  • 09
    Pressure-free growing robots for soft medical robotics
    By Emmet Cole Researchers at the University of Leeds and collaborators from the University of California San Diego won the Best Paper Award at RoboSoft, the leading international conference focused on soft robotics research. Soft robotics is gaining attention in medical applications because compliant machines can interact more safely with delicate objects and complex anatomy. […]IEEE Robotics and Automation Society (RAS)
  • 10
    Interactive world simulator for robot policy training and evaluation
    Imagine you want to teach a robot to push an object on a table. The standard recipe in robot learning is to collect hundreds of expert demonstrations on a real robot, train an imitation learning policy on that data, and then evaluate the policy by running it many times on the same real robot. Both […]Yixuan Wang
  • 11
    Undergrads’ weed-killing robot wins top prize
    Andrew James (from left), Neil Morrison, Natalia Kurz and Michael Neiss work on a prototype of their weed-killing robot ahead of The Farm Robotics Challenge, which they won on May 21. By Holly Hartigan A team of Cornell undergraduates beat 95 other teams to take the grand prize at The Farm Robotics Challenge with their […]Cornell University
  • 12
    A flapping robot swims and flies like a diving bird
    Image copyright: Raphael Zufferey. By Jennifer Chu Loons, gulls, puffins, and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge in water to swim after prey, and then leap back into the air to fly away. Now, inspired by these naturally aquatic aviators, engineers […]EPFL
  • 13
    Wristband enables wearers to control a robotic hand with their own movements
    By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.MIT News
  • 14
    #RoboCup2026 social media round-up
    This year, RoboCup took place in Incheon, South Korea, from 2-6 July. The event saw teams take part in competitions, training sessions, and a symposium. Take a look at what the participants got up to in our round up from social media. The wait is over! 🤖🎉 RoboCup 2026 officially begins today! Join us for […]Lucy Smith
  • 15
    #RoboCup2026 – humanoid league knockout stages
    This weekend saw the finale of the league competitions at RoboCup 2026 in Incheon, South Korea, with the winners in the small, middle, and large humanoid divisions decided. Congratulations to the following teams, who finished in the top three positions in each size class: Small division Invic, Wuhan University, China Hamburg Bit-Bots, Universität Hamburg, Germany […]Lucy Smith
  • 16
    #RoboCup2026 – humanoid league day 2
    The second day’s play at RoboCup 2026 has drawn to a close with another bumper set of matches. Teams have come from far and wide to take part in the humanoid soccer competition this year, with 17 different countries represented. China is the most represented country, boasting 15 teams across the three divisions. Other countries […]Lucy Smith
  • 17
    Reflections from ICRA 2026
    From the 1st-5th June, the robots descended on Vienna. The 2026 IEEE International Conference on Robotics & Automation (ICRA) brought together the top minds in robotics for one short week to showcase the latest technologies, form new collaborations, and exchange ideas. Held at the Messe Wien, a stone’s throw from the bank of the Danube, […]Ella Scallan
  • 18
    #RoboCup2026 – humanoid league day 1
    Image credit: RoboCup Federation. RoboCup 2026 kicked off today in Incheon, South Korea, with the league competitions running until 5 July. It’s an exciting time for RoboCup, as there have been some updates to the leagues and competition format. Most prominently, the soccer leagues will have a primary focus on humanoid robots. In a series […]Lucy Smith
  • 19
    What’s coming up at #RoboCup2026?
    This year, RoboCup will be held in Incheon, South Korea, from 2-6 July. The event will see teams take part in competitions, training sessions, and a symposium. It’s an exciting time for RoboCup, as there have been some updates to the leagues and competition format. Most prominently, the soccer leagues will have a primary focus […]Lucy Smith
  • 20
    Robot Talk Episode 162 – The robot doctor will see you now
    Since the first robot-assisted surgery was performed, over 40 years ago, major advances in robotics, computer vision and artificial intelligence have fundamentally changed medicine and healthcare. Innovative new technologies are already aiding skilled medical professionals in diagnosis, surgery, rehabilitation and beyond. But many questions remain: What ethical issues arise as medical tools become increasingly autonomous? […]Robot Talk
  • 21
    AI brings object-level vision prosthetics closer to reality
    Image credit: By Jeff Dahl – Own work by uploader, Based on the public domain document: [1], CC BY-SA 3.0, Link By Stephanie Parker This research from the NeuroAI Lab of Martin Schrimpf, part of EPFL’s Schools of Computer and Communication Sciences and Life Sciences, uses AI models to predict exactly where to stimulate the […]EPFL
  • 22
    AURA Foresight Reaches Global XPRIZE Wildfire Finals in Alaska
    One of only four teams remaining from more than 130 competitors worldwide, our team AURA Foresight is developing autonomous technology to stop wildfires before they grow out of control. AURA Foresight has been selected as a finalist in the prestigious XPRIZE Wildfire Autonomous Wildfire Response competition, emerging as one of just four teams remaining from […]Sabine Hauert
  • 23
    Robot Talk Episode 161 – Collaborative haptic systems, with Allison Okamura
    Claire chatted to Allison Okamura from Stanford University about developing advanced robotic systems for haptic (touch) interaction. Allison Okamura is the Richard W. Weiland Professor of Engineering at Stanford University. Her academic interests include haptics, teleoperation, virtual reality, medical robotics, soft robotics, rehabilitation, and education. Allison is Director of Graduate Studies for Mechanical Engineering at […]Robot Talk
  • 24
    New research enables a robot to chart a better course
    By rapidly generating a smooth path plan that cuts travel time and avoids obstacles, the open-source “MIGHTY” system could streamline disaster recovery and parcel delivery.MIT News
  • 25
    Entangled robotic matter with cohesive motion
    By Syl Kacapyr Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes and adapts to its environment without centralized control. The system, called the Cross-Link Collective, consists of dozens of small robots that have limited mobility individually, but together exhibit coordinated and sustained […]Cornell University
  • 26
    Robot Talk Episode 160 – Robotic blacksmiths, with Edward Mehr
    Claire chatted to Edward Mehr from Machina Labs about their RoboCraftsman that shapes complex metal parts for the aerospace, defence, and automotive industries. Edward Mehr is an entrepreneur and engineer specializing in advanced manufacturing, robotics, and artificial intelligence. As the Co-Founder and CEO of Machina Labs, he leads efforts to integrate AI-driven robotics into flexible, […]Robot Talk
  • 27
    Congratulations to the #AAMAS2026 best paper award winners
    The AAMAS 2026 best paper awards were presented at the 25th International Conference on Autonomous Agents and Multiagent Systems, which took place from 25-29 May 2025 in Paphos, Cyprus. The winners and nominees in the three categories (best paper, best student paper, best blue sky paper) are as follows: Best Paper Award Winner Developing Guidelines […]Lucy Smith
  • 28
    Robot Talk Episode 159 – Robot sensing and manipulation, with Maria Koskinopoulou
    Claire chatted to Maria Koskinopoulou from Heriot-Watt University about autonomous robotic manipulators for surgery, industry, and beyond. Maria Koskinopoulou is an Assistant Professor in Robotics and Computer Vision at Heriot-Watt University. She co-leads the ARM²Lab – Autonomous Robotic Manipulation & Multi-Agent Systems Lab at Heriot-Watt and the National Robotarium, alongside Ignacio Carlucho. Her research interests […]Robot Talk
  • 29
    Global robotics technology roadmap
    Deborah Lupton / Pop Chips / Licenced by CC-BY 4.0. Henrik I Christensen, Professor of Computer Science & Engineering at University of California San Diego, has recently released a global robotics technology roadmap. This position paper focuses on Asia, Europe, and America and outlines the current state-of-the-art in robotics, and highlights the main opportunities. The […]Lucy Smith
  • 30
    RoboChem Flex: democratisation of the autonomous synthesis robot
    Image credit: HIMS / Nature Synthesis. In a paper published in Nature Synthesis, researchers led by Professor Timothy Noël of the University of Amsterdam’s Van ’t Hoff Institute for Molecular Sciences present an advance in autonomous laboratory systems for synthesis optimisation. A versatile, modular design and the option for “human-in-the-loop” analytics, RoboChem Flex caters to […]University Of Amsterdam
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  • 01
    Analog Devices renews MassRobotics partnership to support robotics startups
    Analog Devices has renewed its commitment as a strategic sponsor of MassRobotics, the Boston-based robotics accelerator. Central to this partnership is Analog Garage, ADI’s internal corporate venture and incubator group. Analog Garage functions as a cutting-edge emerging technology hub, pairing ADI’s deep technical expertise with seed funding and engineering resources to turn disruptive ideas into […]David Edwards
  • 02
    Regal Rexnord and Fanuc launch integrated linear axis for CRX collaborative robots
    Regal Rexnord has formed a strategic collaboration with robotics and automation company Fanuc to deliver a fully integrated collaborative robotics solution that combines expertise from many of its brands. The solution leverages Thomson linear motion technology alongside Boston Gear gearheads, Huco couplings and Kollmorgen motors and software, enabling Fanuc CRX users to deploy the Thomson […]David Edwards
  • 03
    Bridging the Gap Between Robotics Design and Deployment
    However, once these systems are deployed, they are prone to face unique challenges. Lighting conditions, variations in human behavior, the variety of surfaces encountered, and background noise are examples of factors that can contribute to these newfound friction points in untested scenarios. The Limits of Testing Predictable Labs vs. Real World Environments Laboratories are designed […]David Edwards
  • 04
    Former DeepMind team launches AI robotics startup with robots that learn from workers
    Reimagine Robotics, an AI robotics company founded by former leaders of Google DeepMind’s Applied Robotics team, has emerged from stealth with new technology that allows robots to learn on the job. The company is developing intelligent robots that anyone can train and use. Instead of requiring specialist programmers whenever a task or production process changes, […]David Edwards
  • 05
    How Automation Companies Add AI Without Locking into One Provider
    Automation and robotics have always been about combining reliable hardware with increasingly capable software. Over the last few years, the software half of that equation has shifted decisively toward artificial intelligence. Vision systems that read labels and detect defects, natural-language interfaces that let operators query a line in plain English, predictive models that flag a […]David Edwards
  • 06
    How certified systems integrators reduce commissioning risk in robotic production cells
    Commissioning a robotic production cell requires coordinated testing across robot controls, drives, safety functions, field devices, and plant networks. A robotic cell can run cleanly during a shop demonstration and still lose hours when it reaches the plant. The robot may be ready while a drive uses the wrong parameter set. A sensor can change […]David Edwards
  • 07
    Designing Companion Mobile Apps for Robotics and Automation Systems
    Robots no longer stop at the edge of the factory floor. Increasingly, they extend into a phone or tablet in an operator’s hand. A companion app has become as important as the hardware it controls. Fleet managers check machine health from a warehouse aisle. Maintenance technicians pull diagnostics before they even reach the unit. Operations […]David Edwards
  • 08
    Shanghai Electric unveils humanoids and industrial robots and AI smart factory technologies
    Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios. […]David Edwards
  • 09
    Neura Robotics expands global physical AI training network in partnership with RWTH Aachen University
    Neura Robotics has partnered with RWTH Aachen University to establish a new Neura Gym in Germany as part of its expanding global network of Physical AI training centres. The new facility, known as Neura Gym RWTH Aachen, is scheduled to open by the end of 2026 at the university’s Hightech Campus Melaten. It will form […]David Edwards
  • 10
    Sapphire launches AMD-powered robotics platform for physical AI applications
    Sapphire Technology has unveiled the EDGE+ Apex SOM/Carrier Robotics Platform, a production-ready hardware platform powered by AMD Ryzen AI Embedded X100 Series processors and designed to accelerate the development and deployment of physical AI in autonomous robotics. The platform has been showcased at AMD Advancing AI 2026 in San Francisco. Built for rugged, always-on robotics […]David Edwards
  • 11
    How Integrating Industrial Robots with Laser Cleaning Systems Optimizes Production Lines
    New technology is changing the face of factories. All companies are seeking to reduce cycle time, lower costs, and guarantee quality. Automation is assisting factories to accomplish their tasks in a superior manner. A helpful technology is industrial robots and laser cleaning systems. This mix can be used to automatically remove burrs from metal components […]David Edwards
  • 12
    Strider Robotics demonstrates 40 kg payload quadruped robot as commercial pilots begin
    Indian robotics startup Strider Robotics says it has successfully demonstrated what it describes as one of the country’s highest-payload quadruped robots, capable of carrying a 40 kg payload while maintaining stability across challenging terrain. The Bengaluru-based company is now moving from prototype development to commercial deployment, with field pilots under way with a major oil […]Sam Francis
  • 13
    Mondo Robotics unveils Beni, an all-terrain AI camera robot for consumers
    Mondo Robotics, a robotics company creating accessible robots for the consumer, has launched its first robot, Beni, on Kickstarter. Beni is the first portable, all-terrain robot that independently films while following you around, auto-capturing life’s little moments with cinema-grade camera movement. Having to set up equipment like tripods or asking someone else to take a […]Sam Francis
  • 14
    Lumos Robotics tops global benchmark test for zero-shot embodied AI
    Lumos Robotics says its Prime R0 industrial embodied AI model has achieved the highest overall score on the latest MolmoSpaces leaderboard, outperforming larger models from competitors including Nvidia and research teams from the United States. The Chinese robotics company said its 2.8-billion-parameter model ranked first across both single-arm fine manipulation and dual-arm collaboration tasks in […]Sam Francis
  • 15
    South Korean robotic hand developer Tesollo begins IPO preparations after Series B funding
    Tesollo, a South Korean robotic hand specialist, has officially begun preparations for its initial public offering through Korea’s technology-special listing track. Tesollo appointed KB Securities as its lead underwriter in March and is currently preparing for a planned listing after 2027. The company also announced that it has recently completed its Series B funding round. […]Sam Francis
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  • 01
    [Paid Contract] Robotics Engineer - Household Manipulation Prototype - Hamilton, Canada / Hybrid
    Hi everyone, I’m looking for a robotics engineer for a paid 4–6 week prototype project based in Hamilton, Ontario, Canada. The immediate goal is deliberately narrow: build a household manipulation prototype using an off the shelf robotic arm, cameras, and teleoperation to reliably move a standardized plate, bowl, and cup from fixed starting locations into predetermined dishwasher-rack locations. The initial work would include: selecting/recommending an appropriate off the shelf arm arm bring upJacob_Gadek
  • 02
    Is this Embodied Agent project useless?
    Hello, I was working on a Embodied Agent project in University for last 9 months. The problem is we are using a regular VLM + algorithmic methods to make the robot understand its environment and do missions given by the user. I was misdirected into creating a project that would require a large team and big budget, if this project’s idea would be even considered valid. At the beginning we thought this could be done and cheap AMR’s could benefit from it without data training like humanoid robots.mertguler
  • 03
    rostree v1.0.0: explore your ROS 2 dependency graph from the terminal, or in your browser
    Hi everyone! I posted an early version of rostree on reddit a while back, around 0.2.2… but never here. Three releases later it’s at 1.0, and enough has changed that a fresh post seemed more honest than a bump comment. It answers the questions you actually ask about a workspace: what does this package pull in, who depends on it, why is this thing in my tree at all, and what changed since my last build. CLI, TUI, Python API. pip install rostree source /opt/ros/<distro>/setup.bash # and/or your woguilyx
  • 04
    ROS PMC Minutes for August 4, 2026
    The ROS PMC meeting for this week was on Tuesday, August 4, 2026. The notes from the meeting are available at ROS PMC weekly meeting agenda . ROS PMC Business Async Formal Decision: Rolling sync policy. PASSED (11 of 16 PMC Constituents approving). Decision taken by asynchronous vote under Charter Article 4.12.ii, on a matter brought under Article 4.10.i. Proposal: Rethinking Rolling Syncs . Votes recorded per Article 4.14: PMC Constituent Vote @christophebedard APPROVE @mjcarroll APPROVE @Miguemjcarroll
  • 05
    This Week at Open Robotics Headquarters (2026-08-03)
    Have you ever set up dominoes for a truly epic fall ? There’s a whole lot of setup that precedes an impressive end result . That’s what it felt like in Open Robotics HQ this past week. So many of the things we do take a lot of work and yak shaving before they show any results. Sure, those results can be impressive , but that setup…you need to keep reminding yourself that you are making progress, even if it doesn’t feel that way. You’ve all been there and know the feeling. In the past week we’vevmb
  • 06
    Properly close windows processes, discussion about implementation
    So I went into a bit of a rabbit whole last week! CI on windows kept on getting this particular error: 2: [WARNING] [python.exe-2]: 'SIGINT' sent to process[python.exe-2] not supported on Windows, escalating to 'SIGTERM' Apparently, windows does not have a proper way to handle SIGINT, which means that it always straight goes to the ungraceful shutdown of SIGTERM. So I thought “oh! is that perhaps the reason why we keep getting all of the unhandy access violation ( 3221225477) that we see ever siKimMcG
  • 07
    Community meeting: Gym-Gazebo-Sim
    Hello Community! Here’s the information for our next August Meeting where we’ll talk about running reinforce learning algorithms using Gazebo. “Gym Gazebo Sim is an educational software toolkit developed to help beginner Gazebo users use the Gymnasium API by the Farama Foundation for reinforcement learning. The toolkit was developed for an introductory course for Gazebo Sim, ROS 2, and RL. It simplifies development for students by providing a base class to pause, resume, and step the simulation,caguero
  • 08
    Autonomous Warehouse AMR with ROS 2 Jazzy, Gazebo Harmonic and Nav2
    Hi everyone, I’d like to share my first complete autonomous mobile robot project: an Autonomous Warehouse AMR simulation built with ROS 2 Jazzy, Gazebo Harmonic and Nav2 . The robot is a differential-drive AMR equipped with a simulated 2D GPU LiDAR and can autonomously navigate inside a warehouse environment using: AMCL for localization robot_localization EKF for odometry / TF SmacPlanner2D for global path planning Regulated Pure Pursuit for path tracking Local and global obstacle-aware costmapsanastasios03git
  • 09
    Status, testing, use cases, and reliability of Beacons in Open-RMF
    Hi Open-RMF team, I am currently investigating the Beacon functionality in Open-RMF / RMF Web, especially rmf_fleet_msgs/BeaconState and the beacon_state topic. I found the BeaconState message definition, the beacon handling code in rmf-web , and some unit tests for the beacon dashboard components. However, I could not find documentation explaining how extensively the Beacon functionality has actually been tested or used. I would like to clarify the following: Have Beacons in Open-RMF been testeatemova
  • 10
    Ros2_test_compose: a YAML-to-pytest generator for ROS2 integration testing
    Hi everyone, I’m a PhD student, and after a few years my codebase has grown quite a bit, spread across different git repos, Docker containers, and machines. I knew it would be good to add some tests to avoid regressions and losing work or features. However, writing unit tests alone as a student would probably cost me another year of my PhD. So instead I went for integration tests, which are easier to write in a ROS environment and make more sense for a pipeline where the internal functions keepWillore
  • 11
    ROS 2 Based Face Tracking Display Control with PiPER Robotic Arm
    0.Introduction This project demonstrates a vision-based smart ergonomic workstation built with an AgileX PiPER 6-DoF robotic arm, Orbbec RGB-D camera, and ROS 2. Using YOLOv5-Face and depth perception, the system detects the user’s 3D position and controls the robotic arm to adjust the display orientation automatically. Safety Considerations This prototype does not include certified safety functions, such as collision detection, human safety monitoring, speed monitoring, or emergency stop controAgilex_Robotics
  • 12
    Exploring a human-reviewed ROS 2 agentic pipeline generator
    I am prototyping **EdgeAI Forge**, a local-first engineering architecture intended to help generate, test, benchmark, and document ROS 2 and machine-vision pipelines. The initial target workflow is a ROS 2 vision pipeline generator. Given a requirement such as: > Read frames from a USB camera, run object detection, publish detections, expose health status, benchmark performance, and prepare deployment to Jetson. the system should eventually produce reviewed artifacts including: - package manifesAfrid_Thenebanda
  • 13
    Some Knowledge about ros
    Hi everyone! I’m a 2nd-year Mechanical Engineering student at NIT Jalandhar, currently exploring Robotics and Automation. I’m starting my journey with C++/Python, electronics, CAD and eventually ROS 2. My long-term goal is to work on real robotics projects and eventually pursue research/internship opportunities in robotics. I’m looking to connect with: • Students who are also learning Robotics/ROS 2 • People working on interesting robotics projects • Researchers/engineers who are open to collaboHimanshu1
  • 14
    Robotics Student - Perception Systems Question
    Hi all, I’m an MEng Robotics & AI student at UCL working on perception/tracking pipelines (recently built a person re-ID and tracking evaluation pipeline, and a Gaussian-splat reconstruction quality evaluator). I’m trying to understand a specific problem better: how do teams currently notice when a perception or sensor-fusion stack has silently degraded in production, before it causes a visible failure? Do you rely on manual spot-checks, logging + alerts, a formal calibration schedule, or somethjeeeeeeeson
  • 15
    Advice on breaking into US robotics/embedded industry as a US citizen with no US history
    I’m a 4th-year Computer Engineering student in Palestine (Birzeit University, graduating 2027). I focus on embedded systems and robotics. I have US citizenship, but I never lived or worked in the US. There’s no embedded or robotics industry here at all, so I can’t really build experience or a network locally. I’m trying to move to the US, but I’m not sure where to start. My background: ROS2 control software for a multi-agent robotics platform, FreeRTOS firmware on custom boards, and a competitioabd_SH
  • 16
    Mppi_controller_cuda — CUDA-accelerated MPPI local planner for ROS1 & ROS2
    Hi, i have developed mppi_controller_cuda , a CUDA-accelerated MPPI (Model Predictive Path Integral) local planner, built on the MPPI-Generic framework and based on nav2_mppi_controller . Repo: GitHub - datledoan/mppi_controller_cuda: CUDA-accelerated MPPI controller for ROS · GitHub Two branches: noetic — ROS1, works with move_base and move_base_flex . jazzy — ROS2 Jazzy / Nav2, drop-in controller_server plugin. Demo: 1 post - 1 participant Read full topicdatledoan
  • 17
    Open-Source Fire Simulation Plugin for Gazebo Harmonic
    Hello Open Robotics community! We are excited to share our open-source Fire Simulation Plugin for Gazebo Harmonic / Gazebo Sim 8. The plugin provides a configurable fire simulation framework for simulating fire interaction with objects in a Gazebo environment. Features - Fire and flame simulation - Smoke and particle effects - Heat propagation - Distance- and direction-based fire exposure - Progressive ignition - Progressive object burning - Damage accumulation - Charring / burn effects - ProgreRahul1
  • 18
    ROS2 Dev Container Feature + Workspace Update
    I’ve been working on a ROS2 Dev Container Feature and just updated my VSCode ROS2 Workspace Template to use it instead of my pre-built ROS Docker images. The feature is here: GitHub Build software better, together GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Source: github.com GitHub - althack/devcontainers: My vscode devcontainers My vscode devcontainers The main thing I wanted was to select the ROathackst
  • 19
    Has a CPU shared-memory backend for rosidl::Buffer been explored?
    I have been looking into rosidl::Buffer and the current buffer backend support, particularly for large variable-length payloads such as images and point clouds. One idea I am interested in is a CPU shared-memory backend for rosidl::Buffer . I realize that this overlaps to some extent with functionality that already exists at lower layers. For example, some middleware / RMW implementations already provide shared-memory transport or other zero-copy optimizations. Depending on the implementation, mDaisuke_Kato
  • 20
    Experimental order-sensitive consistency residual for Odometry/TF streams — minimal C++ reproducer
    I briefly mentioned an order-sensitive state diagnostic in another thread, but that was the wrong place for it. Posting it separately here with an executable reproducer. The idea is simple: three consecutive pose samples in, one scalar residual out. It quantifies how much the result shifts when you change the nesting order of state composition. Synthetic test results: Smooth linear motion: 4.9848e-08 Abrupt pose/orientation jump: 0.000881456 This is absolutely not a validated anomaly detector yezc_Liu
  • 21
    New Packages and patch release for Lyrical 2026-08-07
    We’re happy to announce 129 new packages and 372 updates are now available in ROS Lyrical. This sync was tagged on ros/rosdistro as lyrical/2026-08-07 and on ros2/ros2 as release-lyrical-20260807 . See Release ROS Lyrical Luth - Patch Release 2 (2026/08/07) · ros2/ros2 · GitHub for comprehensive archives. Thank you to every maintainer and contributor who made these updates available! Package Updates for ROS Lyrical Updates to Ubuntu Resolute (amd64) (click for more details) Updates to Ubuntu Ressloretz
  • 22
    New packages for Humble Hawksbill 2026-08-07
    We’re happy to announce 40 new packages and 747 updates to ROS 2 Humble Hawksbill This sync was tagged as humble/2026-08-07 . Package Updates for humble Added Packages [40]: ros-humble-autoware-command-gate : 1.9.0-1 ros-humble-autoware-command-gate-dbgsym: 1.9.0-1 ros-humble-autoware-core : 1.9.0-1 ros-humble-autoware-core-localization : 1.9.0-1 ros-humble-autoware-ndt-scan-matcher : 1.9.0-1 ros-humble-autoware-ndt-scan-matcher-dbgsym: 1.9.0-1 ros-humble-bosch-navigator-bridge: 2.1.16-1 ros-humchristophebedard
  • 23
    [Open Source] GZ Weather System – Realistic Rain & Snow Simulation for Gazebo Sim
    Hi everyone, We are excited to share GZ Weather System , an open-source collection of realistic Rain and Snow simulation worlds for Gazebo Sim (Harmonic) built using Gazebo Sim’s built-in ParticleEmitter system. The goal of this project is to provide lightweight, reusable weather environments that can be integrated into robotics simulations without requiring custom rendering plugins. Features Realistic Rain simulation Realistic Snow simulation Runtime particle emission control using Gazebo TransRahul1
  • 24
    ROS News for the Week August 3rd, 2026
    ROS News for the Week August 3rd, 2026 Congratulations to our Japanese colleagues on another successful ROSConJP . The photos and videos coming out of the event look amazing. We’ve got a ton of great events coming up. Next Thursday we’ve schedule a ROS By-The-Bay meetup at InOrbit in Mountain View. Foxglove’s Actuate conference is the following week followed by a workshop for the Scenic project at UC Santa Cruz. I’ve also organized a ROS Industry Night at Trossen Robotics showroom in San FrancisKatherine_Scott
  • 25
    frontier_exploration_ros2: Modern Autonomous Exploration System for ROS 2
    Hello everyone, I’d like to share frontier_exploration_ros2 , a modern open-source C++ project for autonomous exploration with ROS 2 and Nav2. The project started around traditional WFD-style frontier exploration, but has grown into a more complete exploration framework focused on improving frontier quality, target ordering, navigation efficiency, and practical ROS 2 integration. Using new methods such as Dynamic Programming. The exploration logic is separated into a C++ library, so it can alsomertguler
  • 26
    3D OctoMap SLAM on a TurtleBot3 Burger (RealSense D435i)
    A small project building a growing 3D occupancy map (OctoMap) on a TurtleBot3 Burger with an Intel RealSense D435i. The robot streams depth, color, and wheel odometry over WiFi; a laptop turns the depth into a point cloud and octomap_server builds the voxel map, updating live in RViz. Every session records to a bag and replays offline. A few things that were worth working out: camera_info QoS. depth_image_proc ’s PointCloudXyzNode subscribes to the depth camera_info as TRANSIENT_LOCAL , but theprakash-aryan
  • 27
    Rosbag Resurrector — a pandas-like analysis + ML-export workbench for ROS 2 bags
    Hi all — I’ve been building rosbag-resurrector, an analysis workbench for ROS 2 (MCAP) bags. It’s deliberately not another 3D viewer — it treats a bag like a DataFrame: pandas-like access, a DuckDB index across many bags, health/QC validation, semantic frame search, cross-bag overlay, and one-command export to LeRobot / RLDS / Parquet. It bridges to PlotJuggler over WebSocket rather than competing on plotting. v0.8 (released this week) adds a notebook-style web UI — open a bag, plot a signal, brsegfault_survivor
  • 28
    [GSoC 2026] ROS 2 Client Library Performance Monitoring: Midterm Progress Update
    Organization: OSRF Contributor: Ammaar Ahmed ( GitHub , LinkedIn ) Mentors: Kimberly McGuire ( GitHub ) and Skyler Medeiros ( GitHub ) GSoC project: ROS 2 Client Library Performance Monitoring Repository: ros2-performance-monitoring Live dashboard: performance.ammaar.lol Hello everyone, I am Ammaar Ahmed. I am pursuing a bachelor’s degree in Robotics and Automation Engineering at FAST NUCES Islamabad, Pakistan. My interest in ROS began about a year and a half ago, when I started building robotsammaarrahmed
  • 29
    Physical AI Open-source Platform: CYCLO
    Introducing CYCLO: A Modular Software Platform for Physical AI Physical AI Open-source Platform: CYCLO Building Physical AI systems often means dealing with fragmented tools for data, training, simulation, and hardware control. To solve this, our team developed CYCLO: a modular, open-source framework designed to connect the entire Physical AI workflow into a single stream. Key Features: • Cyclo Intelligence: Data recording, LeRobot dataset conversion, and imitation/reinforcement learning policyPyo
  • 30
    SIG for Physical AI Meeting, August 7th with Encord
    This week the ROS Special Interest Group for Physical AI is happy to share that we will be hosting Encord to share how their work connects to the work of the SIG. The meeting will be at Fri, Aug 7, 2026 3:00 PM UTC for meeting details please find the event on the Google Calendar for future reference it’s embedded into the ROS Governance page in the documentation. 1 post - 1 participant Read full topictfoote