Daniel Ackerman

Articles

Robotics March 23, 2021

Researchers’ algorithm designs soft robots that sense

Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation. See video.

By Daniel Ackerman
Robotics March 7, 2021

Helping soft robots turn rigid on demand

A new control system developed by MIT researchers may broaden robots’ range of tasks and allow safer interactions with people.

By Daniel Ackerman
Robotics March 2, 2021

Tiny drones developed with an insect’s agility

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.

By Daniel Ackerman
Mechanical & Electrical February 11, 2021

Nanowire could provide a stable superconducting transistor

The cryoyton is a superconducting transistor, inspired by decades-old MIT research, which could boost quantum computers and other superconducting electronics.

By Daniel Ackerman
Robotics January 21, 2021

Designing customized robot brains for critical applications

A system has been developed that devises hardware architectures to hasten robots’ response time so they can operate in critical situations.

By Daniel Ackerman
Sensors, Actuators December 21, 2020

Method finds hidden warning signals in collected measurements

A deep-learning algorithm has been developed that could provide advanced notice when systems — from satellites to data centers — are falling out of whack.

By Daniel Ackerman
Robotics November 30, 2020

Computer-aided creativity for robot design

A system called RoboGrammar allows designers to simulate potential robot designs to find a system that works best for particular terrains.

By Daniel Ackerman