MIT engineers developed a robotic replica of the heart’s right ventricle that mimics its beating and blood-pumping action of live hearts.

Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.

The Mars Oxygen In-Situ Resource Utilization Experiment, or MOXIE, generated oxygen aboard NASA’s Perseverance Rover.

When paired with real-world data, the RialTo system created at MIT CSAIL outperformed traditional imitation learning methods.

A new surgical procedure gives people more neural feedback from their residual limb. With it, seven patients walked more naturally and navigated obstacles.

Robotic manipulation and teleoperation have advanced in the past few years, but researchers at MIT and UC San Diego have developed Open-TeleVision to overcome limitations.

RoboGrocery uses soft robotics, sensors, and algorithms to handle a stream of unpredictable objects on a conveyor belt, said MIT CSAIL.

MIT AI experts have applied a deep-learning model that can decongest robots nearly four times faster than typical strong random search methods. 

MIT CSAIL’s research examines the economic practicality of using AI for automating tasks, with a particular emphasis on computer vision.

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

Project Ddog aims to turn a Boston Dynamics Spot quadruped into a basic communicator for those with physical challenges such as ALS. 

Universal Robots had strong attendance at its U.S. headquarters open house, which featured presentations, demonstrations, and networking.

Dr Kate Darling discusses her new role leading AI and Robotics Ethics at the AI Institute.

An MIT research team has developed an AI technique that allows robots to manipulate objects with their entire hand or body, instead of just their fingertips. 

MIT researchers developed a framework that helps robots learn faster in new environments without needing a user to have technical knowledge.

The soft robots are formed from rubbery magnetic spirals and can be programmed to walk, crawl, and swim in response to a magnetic field. 

Robust MADER is able to generate collision-free trajectories for drones even when there is a delay in communications between agents.

Researchers at MIT have designed a soft, robotic implantable ventilator that can augment the diaphragm’s natural contractions. 

Researchers at MIT have created assembling robots that are made up of the same components they use to build structures. 

Researchers at the MIT developed a system that can help robots retrieve target items from a pile of items with some RFID tags. 

Researchers at MIT’s CSAIL released an open-source simulation engine that can construct environments to test autonomous vehicles.

MIT’s research team hopes that its findings could help autonomous robots explore remote exoplanets with unknown conditions.