MIT News · Robotics · 实时热榜

This new method, called “SANDO,” could help disaster-response robots navigate dangerous, unknown environments.

Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.

MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

The autonomous system could speed up testing of high-tech materials for applications such as solar cells, sensors, video displays, and quantum technologies.

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

Atlas Building Composites is commercializing MIT research to turn plastic waste into parts for buildings and other infrastructure.

The work is part of a multiyear effort to develop a distributed sensor network for relaying data collected from this critical region.

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.

The new, more intuitive system could speed up the training process for excavator operators.

Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.

MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

MIT engineers’ design could lead to a new class of aerial-aquatic vehicles for ocean exploration.

MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.

Three MIT teams took five top awards in the 2026 NASA RASC-AL Competition for designing critical elements for the moon base and future missions to Mars.

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.

Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.

A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.

The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.

The “Sonar-MASt3R” combines sonar and visual data to create real-time 3D maps, even in cloudy water.

Using technology invented at MIT, Cartesian’s system for locating objects could also find uses in manufacturing, logistics, and robotics.

A new MIT student club for FIRST Robotics alumni aims to promote hands-on STEM education enrichment for K-12 students.

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.

The prestigious fellowship funds graduate studies at Stanford University.

An old patent from MIT Professor Bill Freeman inspired the new “Y-zipper,” a three-sided fastener that snaps gear, robots, and art into shape at the push of a button.

MIT researchers’ new fabrication technique can produce soft, microscopic structures with magnetically activated moving parts.

New research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Reframe Systems, co-founded by Vikas Enti SM '20, creates microfactories for modular home construction, reducing carbon emissions and costs.

Associate Professor Richard Linares is helping satellites safely navigate in increasingly congested orbits.

New MIT work advances the growing field of ionotronics, in which data are transferred through ions, potentially providing a bridge between electronics and biological tissue.

Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.

Electrofluidic fibers mimic how natural muscle fibers bundle, and could enable compact, silent robotic and prosthetic systems.

This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

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.

Participants learn how laser “fingerprinting” can help identify materials in fields ranging from law enforcement to art restoration.

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.

A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.

In 16.85 (Design and Testing of Autonomous Vehicles), AeroAstro students build software that allows autonomous flight vehicles to navigate unknown environments.

Lincoln Laboratory intern Ivy Mahncke developed and tested algorithms to help human divers and robots navigate underwater.

An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once and adapt instantly to changing conditions without retraining.

MagMix, an onboard mixing device, enables scalable manufacturing of 3D-printed tissues.

From robotics to apps like “NerdXing,” senior Julianna Schneider is building technologies to solve problems in her community.

The new design could be adapted to assist the elderly, sort warehouse products, or unload heavy cargo.

In the 2025 Dresselhaus Lecture, the materials scientist describes her work 3D printing soft materials ranging from robots to human tissues.

The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.

Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.

With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.

The new design from MIT engineers could pump up many biohybrid builds.