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.
CSAIL’s Perceptual Science Group created touch sensors for their gripper, allowing it to feel with the same sensitivity as human skin.
The former Jibo founder and CEO is also a professor of media arts and sciences at MIT.
The robots could be used in swarms to pollinate a field of crops, or to search for survivors in disaster areas.
Workers at Ward Aquafarms flip thousands of oyster bags that could weigh up to 70 lb, while dealing with rough waters and bad weather. MIT is building a robot to help.
Researchers hope to create new security systems for robots using transaction-based interactions as a way to build trust between humans and groups of robots.
The primary goals are to ensure the benefits of AI and robotics are shared broadly and to promote participation in research.
MIT developed a high-speed flight-planning algorithm that combines simulations and experiments, in a way that minimizes the number of experiments required to identify fast and safe flight paths.