With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.
Daniela Rus
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System lets robots identify an object’s properties through handling
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AI copilot enhances human precision for safer aviation
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
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Drones navigate unseen environments with liquid neural networks
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
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New programmable materials can sense their own movements
Engineers 3D print materials with networks of sensors directly incorporated.
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A robot that can help you untangle your hair
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
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Researchers’ algorithm designs soft robots that sense
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
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Autonomous boats could be your next ride
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
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Muscle signals can pilot a robot
CSAIL’s Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
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To self-drive in the snow, look under the road
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
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“Sensorized” skin helps soft robots find their bearings
Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.