Tuesday, October 3, 2023
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Daniela Rus
Drones navigate unseen environments with liquid neural networks
Wednesday, April 19, 2023
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
New programmable materials can sense their own movements
Wednesday, August 10, 2022
Engineers 3D print materials with networks of sensors directly incorporated.
A robot that can help you untangle your hair
Wednesday, May 5, 2021
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
Researchers’ algorithm designs soft robots that sense
Monday, March 22, 2021
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Autonomous boats could be your next ride
Monday, October 26, 2020
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
Muscle signals can pilot a robot
Monday, April 27, 2020
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
To self-drive in the snow, look under the road
Wednesday, February 26, 2020
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
“Sensorized” skin helps soft robots find their bearings
Wednesday, February 12, 2020
Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.
Better autonomous “reasoning” at tricky intersections
Monday, November 4, 2019
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
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