全部/科技/Robotics Dev Blog

NVIDIA · Robotics Dev Blog

4分钟前更新

HISTORY近 30 天历史柱高表示当天去重热搜数量

10010 10011 10012 10013 10014 10015 10016 10017 10018 10019 10020 10021 10122 10023 10024 10025 10026 10027 10028 10029 10030 10001 10002 10003 10004 10005 10006 10007 10108 10009

09/10—10/09 有历史数据

01
The Machines that Make the Machines
How we taught robots to assemble GB300 tester trays and what it taught us about robot learning, mechanical intelligence, and good old-fashioned engineering The...Elizabeth Goodman
02
Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS
GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between...Tanya Lenz
03
Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec
A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle...Michelle Horton
04
How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents
Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to...Tanya Lenz
05
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control
Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...Michelle Horton
06
NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation
Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...Elizabeth Goodman
07
Beyond VLAs: How World Action Models Reshape Robot Manipulation
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene...Michelle Horton
08
Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super
Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data...Elizabeth Goodman
09
Developing Healthcare Robotics with GPU-Native Medical Physics Simulation
Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation....Michelle Horton
10
Develop Lightweight USD Runtimes Faster with AI Agents
OpenUSD is an open, extensible framework that provides a common scene description language for physical AI. It enables teams to bring CAD data, simulation...Michelle Horton
11
How to Evaluate General-Purpose Robot Policies for Real-World Deployment
Robotics foundation models have made remarkable progress. Today's best systems can follow natural language instructions to pick, place, sort, and manipulate a...Brad Nemire
12
Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T
As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids...Elizabeth Goodman
13
Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI
Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional...Suhas Hariharapura Sheshadri
14
Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models
Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it...Moritz Reuss
15
Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2
As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized...Peilun Tsai
16
How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo
Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can...Boris Ivanovic
17
Develop Physical AI Reasoning, World, and Action Models with NVIDIA Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what's...Asawaree Bhide
18
Maximizing Memory Efficiency with Agent Skills to Run Bigger Models on NVIDIA Jetson
The boom in open source generative AI models is pushing beyond data centers into machines operating in the physical world. Developers are eager to deploy these...Anshuman Bhat
19
Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries
Physical AI—AI systems that perceive, reason, and act in physically grounded simulated environments—is changing how teams design and validate robots and...Ashley Goldstein
20
Build and Stream Browser-Based XR Experiences with NVIDIA CloudXR.js
Delivering high-fidelity VR and AR experiences to enterprise users has typically required native application development, custom device management, and complex...Yanzi Zhu
21
How Centralized Radar Processing on NVIDIA DRIVE Enables Safer, Smarter Level 4 Autonomy
In the current state of automotive radar, machine learning engineers can't work with camera-equivalent raw RGB images. Instead, they work with the output of...Lachlan Dowling
22
NVIDIA IGX Thor Powers Industrial, Medical, and Robotics Edge AI Applications
Industrial and medical systems are rapidly increasing the use of high-performance AI to improve worker productivity, human-machine interaction, and downtime...Suhas Hariharapura Sheshadri
23
Using Simulation to Build Robotic Systems for Hospital Automation
Healthcare faces a structural demand–capacity crisis: a projected global shortfall of ~10 million clinicians by 2030, billions of diagnostic exams annually...Mingxin Zheng
24
Newton Adds Contact-Rich Manipulation and Locomotion Capabilities for Industrial Robotics
Physics forms the foundation of robotic simulation, enabling realistic modeling of motion and interaction. For tasks like locomotion and manipulation,...Philipp Reist
25
Scale Synthetic Data and Physical AI Reasoning with NVIDIA Cosmos World Foundation Models
The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and...Pranjali Joshi
26
Build Accelerated, Differentiable Computational Physics Code for AI with NVIDIA Warp
Computer-aided engineering (CAE) is shifting from human-driven workflows toward AI-driven ones, including physics foundation models that generalize across...Sheel Nidhan
27
Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics
Physical AI is rapidly evolving, from next-generation software-defined autonomous vehicles (AVs) to humanoid robots. The challenge is no longer how to run a...Lin Chai
28
R²D²: Scaling Multimodal Robot Learning with NVIDIA Isaac Lab
Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the physical world is expensive, slow, and often...Oyindamola Omotuyi
29
Building Generalist Humanoid Capabilities with NVIDIA Isaac GR00T N1.6 Using a Sim-to-Real Workflow
To make humanoid robots useful, they need cognition and loco-manipulation that span perception, planning, and whole-body control in dynamic environments. ...Edith Llontop
30
Accelerating LLM and VLM Inference for Automotive and Robotics with NVIDIA TensorRT Edge-LLM
Large language models (LLMs) and multimodal reasoning systems are rapidly expanding beyond the data center. Automotive and robotics developers increasingly want...Lin Chai
31
Build and Orchestrate End-to-End SDG Workflows with NVIDIA Isaac Sim and NVIDIA OSMO
As robots take on increasingly dynamic mobility tasks, developers need physics-accurate simulations that translate across environments and workloads. Training...Asawaree Bhide
32
Simplify Generalist Robot Policy Evaluation in Simulation with NVIDIA Isaac Lab-Arena
Generalist robot policies must operate across diverse tasks, embodiments, and environments, requiring scalable, repeatable simulation-based evaluation. Setting...Sangeeta Subramanian
33
Accelerate AI Inference for Edge and Robotics with NVIDIA Jetson T4000 and NVIDIA JetPack 7.1
NVIDIA is introducing the NVIDIA Jetson T4000, bringing high-performance AI and real-time reasoning to a wider range of robotics and edge AI applications....Shashank Maheshwari
34
Building Autonomous Vehicles That Reason with NVIDIA Alpamayo
Autonomous vehicle (AV) research is undergoing a rapid shift. The field is being reshaped by the emergence of reasoning-based vision–language–action (VLA)...Marco Pavone
35
AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025
2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI...Michelle Horton
36
Simulate Robotic Environments Faster with NVIDIA Isaac Sim and World Labs Marble
Building realistic 3D environments for robotics simulation has traditionally been a labor-intensive process, often requiring weeks of manual modeling and setup....Wonsik Han
37
R²D²: Improving Robot Manipulation with Simulation and Language Models
Robot manipulation systems struggle with changing objects, lighting, and contact dynamics when they move into dynamic real-world environments. On top of this,...Asawaree Bhide
38
Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics
Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous...Chitoku Yato
39
How to Scale Data Generation for Physical AI with the NVIDIA Cosmos Cookbook
Building powerful physical AI models requires diverse, controllable, and physically-grounded data at scale. Collecting large-scale, diverse real-world datasets...Prachi Mishra
40
Making Robot Perception More Efficient on NVIDIA Jetson Thor
Building autonomous robots requires robust, low-latency visual perception for depth, obstacle recognition, localization, and navigation in dynamic environments....Chintan Intwala
41
R²D²: Perception-Guided Task & Motion Planning for Long-Horizon Manipulation
Traditional task and motion planning (TAMP) systems for robot manipulation use cases operate on static models that often fail in new environments. Integrating...Raffaello Bonghi
42
Reconstruct a Scene in NVIDIA Isaac Sim Using Only a Smartphone
Building realistic 3D environments for robotics simulation can be a labor-intensive process. Now, with NVIDIA Omniverse NuRec, you can complete the entire...Wonsik Han
43
Unlock Faster, Smarter Edge Models with 7x Gen AI Performance on NVIDIA Jetson AGX Thor
A defining strength of the NVIDIA software ecosystem is its commitment to continuous optimization. In August, NVIDIA Jetson AGX Thor launched, with up to a 5x...Suhas Hariharapura Sheshadri
44
Streamline Robot Learning with Whole-Body Control and Enhanced Teleoperation in NVIDIA Isaac Lab 2.3
Training robot policies from real-world demonstrations is costly, slow, and prone to overfitting, limiting generalization across tasks and environments. A...Akhil Docca
45
Train a Quadruped Locomotion Policy and Simulate Cloth Manipulation with NVIDIA Isaac Lab and Newton
Physics plays a crucial role in robotic simulation, providing the foundation for accurate virtual representations of robot behavior and interactions within...Mohammad Mohajerani
46
3 Easy Ways to Supercharge Your Robotics Development Using OpenUSD
The increasing demand for robotics is driving the need for physics-accurate simulation at an unprecedented scale. Universal Scene Description (OpenUSD) is key...Matias Codesal
47
Advancing Robotics Development with Neural Dynamics in Newton
Modern robotics requires more than what classical analytic dynamics provides because of simplified contacts, omitted kinematic loops, and non-differentiable...Jie Xu
48
R²D²: Three Neural Breakthroughs Transforming Robot Learning from NVIDIA Research
While today's robots excel in controlled settings, they still struggle with the unpredictability, dexterity, and nuanced interactions required for real-world...Rishabh Chadha
49
Just Released: Warp 1.9
The new release introduces CUDA 13.0 support and new functions for ahead-of-time compilation module.Bhoomi Gadhia
50
Accelerate Autonomous Vehicle Development with the NVIDIA DRIVE AGX Thor Developer Kit
Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not...Abhinaw Priyadershi
51
What’s New in CUDA Toolkit 13.0 for Jetson Thor: Unified Arm Ecosystem and More
The world of embedded and edge computing is about to get faster, more efficient, and more versatile with the upcoming CUDA 13.0 release for Jetson Thor SoC...Rekha Mukund
52
Getting Started with NVIDIA Isaac for Healthcare Using the Telesurgery Workflow
Telesurgery is no longer a futuristic idea—it’s quickly becoming essential to how care is delivered. With a global shortage of surgeons projected to reach...Michael Zephyr
53
Introducing NVIDIA Jetson Thor, the Ultimate Platform for Physical AI
Robotics is undergoing a revolution, moving beyond the era of specialist machines to generalist robotics. This shift moves away from single-purpose,...Shashank Maheshwari
54
Developers Build Fast and Reliable Robot Simulations with NVIDIA Omniverse Libraries
At SIGGRAPH, NVIDIA announced updates to the NVIDIA Omniverse libraries and Cosmos world foundation models (WFMs). Powered by OpenUSD, developers can access new...Pomi Lee
55
Maximize Robotics Performance by Post-Training NVIDIA Cosmos Reason
First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics....Tsung-Yi Lin
56
How to Instantly Render Real-World Scenes in Interactive Simulation
Turning real-world environments into interactive simulation no longer requires days or weeks of work. With NVIDIA Omniverse NuRec and 3DGUT (3D Gaussian with...Katie Washabaugh
57
Announcing General Availability for NVIDIA Isaac Sim 5.0 and NVIDIA Isaac Lab 2.2
At SIGGRAPH 2025, NVIDIA released general access for NVIDIA Isaac Sim and NVIDIA Isaac Lab reference robotics simulation and learning frameworks. Now available...Prachi Mishra
58
R²D²: Boost Robot Training with World Foundation Models and Workflows from NVIDIA Research
As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation...Asawaree Bhide
59
Ready to Get USD Certified?
Take the next step in your 3D development career with OpenUSD certification.Shara Tibken
60
Building Robotic Mental Models with NVIDIA Warp and Gaussian Splatting
This post explores a promising direction for building dynamic digital representations of the physical world, a topic gaining increasing attention in recent...Jad Abou-Chakra
61
Driving AI-Powered Robotics Development with NVIDIA Isaac for Healthcare
By 2030, the World Health Organization projects a global shortage of over 15 million healthcare workers, including surgeons, radiologists, and nurses. In the...Ansley Dunn
62
R²D²: Training Generalist Robots with NVIDIA Research Workflows and World Foundation Models
A major challenge in robotics is training robots to perform new tasks without the massive effort of collecting and labeling datasets for every new task and...Seun Doherty
63
Making Industrial Robots More Nimble With NVIDIA Isaac Manipulator and Vention MachineMotion AI
As industrial automation accelerates, factories are increasingly relying on advanced robotics to boost productivity and operational resilience. The successful...Raffaello Bonghi
64
R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research
Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation,...Raffaello Bonghi
65
Enhance Robot Learning with Synthetic Trajectory Data Generated by World Foundation Models
Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training...Oyindamola Omotuyi
66
NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-Time Data Processing
In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are...Leela Subramaniam Karumbunathan
67
Develop Custom Physical AI Foundation Models with NVIDIA Cosmos Predict-2
Building smarter robots and autonomous vehicles (AVs) starts with physical AI models that understand real-world dynamics. These models serve two critical roles:...Joel Pennington
68
Scale Realistic Robot Simulation Using the NVIDIA NeMo Agent Toolkit for Physical AI
Physical AI enables autonomous systems—think robots, self-driving cars, and smart spaces—to perceive, understand, and act intelligently in the real world....Alex Qi
69
How Robot Brains Dream and Explore Unseen Worlds
NVIDIA Isaac GR00T-Dreams enables developers to generate large-scale synthetic trajectory data from minimal human demonstrations, enabling robots to quickly...Shara Tibken
70
Bridging the Sim-to-Real Gap for Industrial Robotic Assembly Applications Using NVIDIA Isaac Lab
Assembly of multiple parts plays a critical role across nearly every major industry such as manufacturing, automotive, aerospace, electronics, and medical...Oyindamola Omotuyi
71
Designing AI Factories Using OpenUSD and SimReady Assets
Announced at COMPUTEX 2025, the NVIDIA Omniverse Blueprint for AI factory digital twins has expanded to support OpenUSD schemas. The blueprint features new...Pomi Lee
72
Advanced Sensor Physics, Customization, and Model Benchmarking Coming to NVIDIA Isaac Sim and NVIDIA Isaac Lab
At COMPUTEX 2025, NVIDIA announced new updates to its robotics simulation reference application NVIDIA Isaac Sim, and robot learning framework, NVIDIA Isaac...Austin Klein
73
Curating Synthetic Datasets to Train Physical AI Models with NVIDIA Cosmos Reason
How can an AI system understand the difference between a plausible accident and a physically impossible event? Or plan a multi-step interaction across humans,...Tsung-Yi Lin
74
R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research
This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from...Oyindamola Omotuyi
75
Get Trained and Certified at GTC Paris at VivaTech 2025
Join us at GTC Paris on June 10th and choose from six full-day, instructor-led workshops.Brad Nemire
76
Just Released: NVIDIA Warp is Now Open-Source Under Apache 2.0
NVIDIA Warp, a simulation computing framework, is now accessible to all developers.Brad Nemire
77
R²D²: Adapting Dexterous Robots with NVIDIA Research Workflows and Models
Robotic arms are used today for assembly, packaging, inspection, and many more applications. However, they are still preprogrammed to perform specific and often...Asawaree Bhide
78
Simulating Robots in Industrial Facility Digital Twins
Industrial enterprises are embracing physical AI and autonomous systems to transform their operations. This involves deploying heterogeneous robot fleets that...Ashley Goldstein
79
R²D²: Advancing Robot Mobility and Whole-Body Control with Novel Workflows and AI Foundation Models from NVIDIA Research
Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers...Asawaree Bhide
80
Just Released: Omniverse Kit 107.0
Kit SDK 107.0 is a major update release with primary updates for robotics development.Pomi Lee
81
Easily Build Edge AI Apps with Dynamic Flow Control in NVIDIA Holoscan 3.0
NVIDIA announced at GTC 2025 the release of NVIDIA Holoscan 3.0, the real-time AI sensor processing platform. This latest version provides dynamic flow control,...Ansley Dunn
82
Introducing NVIDIA Isaac for Healthcare, an AI-Powered Medical Robotics Development Platform
The future of MedTech is robotic—hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care...Mostafa Toloui
83
Petabyte-Scale Video Processing with NVIDIA NeMo Curator on NVIDIA DGX Cloud
With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of...Hao Wang
84
Using OpenUSD for Modular and Scalable Robotic Simulation and Development
The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market...Aaron Luk
85
Building a Synthetic Motion Generation Pipeline for Humanoid Robot Learning
This post was originally published January 2025 but has been extensively revised with new information. General-purpose humanoid robots are designed to adapt...Connor Smith
86
Accelerate Generalist Humanoid Robot Development with NVIDIA Isaac GR00T N1
Humanoid robots are designed to adapt to human workspaces, tackling repetitive or demanding tasks. However, creating general-purpose humanoid robots for...Kalyan Meher Vadrevu
87
Announcing Newton, an Open-Source Physics Engine for Robotics Simulation
Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to...Spencer Huang
88
Lightweight, Multimodal, Multilingual Gemma 3 Models Are Streamlined for Performance
Building AI systems with foundation models requires a delicate balancing of resources such as memory, latency, storage, compute, and more. One size does not fit...Anu Srivastava
89
Top Physical AI and Robotics Sessions at NVIDIA GTC 2025
Join these sessions to learn how accelerated computing, generative AI, and physics-based world simulation are advancing physical and embodied AI.Michelle Horton
90
Featured OpenUSD Sessions at NVIDIA GTC 2025
Learn how to adopt and evolve OpenUSD for the world's physical and industrial AI data pipelines and workflows.Ben Oliveri
91
Vision Language Model Prompt Engineering Guide for Image and Video Understanding
Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual...Shubham Agrawal
92
Featured Spatial Computing and XR Sessions at NVIDIA GTC 2025
Explore the future of extended reality, and learn how spatial computing is changing the future of immersive development and industry workflows.Shawn Sipprell
93
AI for Climate, Energy, and Ecosystem Resilience at NVIDIA GTC 2025
From mitigating climate change to improving disaster response and environmental monitoring, AI is reshaping how we tackle critical global challenges....Michelle Horton
94
Featured Computer Vision and Video Analytics Sessions at NVIDIA GTC 2025
Explore visually perceptive AI agents, the latest vision AI technologies, hands-on training, and inspiring deployments.Joanne Chang
95
Featured Sessions for Students at NVIDIA GTC 2025
Learn from researchers, scientists, and industry leaders across a variety of topics including AI, robotics, and Data Science.Brad Nemire
96
Featured Researcher and Educator Sessions at NVIDIA GTC 2025
Explore the latest advancements in academia, including advanced research, innovative teaching methods, and the future of learning and technology.Brad Nemire
97
How to Use OpenUSD
Universal Scene Description (OpenUSD) is an open, extensible framework and ecosystem with APIs for composing, editing, querying, rendering, collaborating, and...Matias Codesal
98
NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules
The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an...Shashank Maheshwari
99
Advancing Physical AI with NVIDIA Cosmos World Foundation Model Platform
As robotics and autonomous vehicles advance, accelerating development of physical AI—which enables autonomous machines to perceive, understand, and perform...Pranjali Joshi
100
Upcoming Livestream: NVIDIA Developer Highlights from CES 2025
Tune in January 16th at 9:00 AM PT for a live recap, followed by a Q&A of the latest developer announcements at CES 2025.Brad Nemire