Daniel Ackerman, MIT News Office
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation. See video.
A new control system developed by MIT researchers may broaden robots’ range of tasks and allow safer interactions with people.
Insect-sized drones have been developed with a soft actuator that allows them to withstand the physical travails of real-world flight, which could help their overall movement in many applications. See video.
The cryoyton is a superconducting transistor, inspired by decades-old MIT research, which could boost quantum computers and other superconducting electronics.
A system has been developed that devises hardware architectures to hasten robots’ response time so they can operate in critical situations.
A deep-learning algorithm has been developed that could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
A system called RoboGrammar allows designers to simulate potential robot designs to find a system that works best for particular terrains.