Michigan Engineering | University of Michigan Using a simple and convenient touchscreen interface, the algorithm learns the assistance preferences of the wearer.
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Choosing exoskeleton settings like a Pandora radio station
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Simple neural networks outperform the state-of-the-art for controlling robotic prosthetics
And that tracks with the way our motor circuits work—we’re not that complicated.
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How evolution overshot the optimum bone structure in hopping rodents
Bones that are separate in small jerboas are fully fused in large ones, but the bone structures that are best at dissipating the stresses of jumping are only partially fused.
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$5M to enable remote, next-generation autonomous vehicle testing at Mcity
‘Mcity 2.0’ will give researchers, many without testing resources, remote access to the Mcity Test Facility—creating a more equitable playing field in mobility.
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Walking and slithering aren’t as different as you think
New mathematical model links up slithering with some kinds of swimming and walking, and it could make programming many-legged robots easier.
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‘Fake’ data helps robots learn the ropes faster
A way to expand training data sets for manipulation tasks improves the performance of robots by 40% or more
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Exoskeletons with personalize-your-own settings
Users who could adjust the timing, torque of an ankle exoskeleton typically found comfortable settings in under two minutes.
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Avian secret: The key to agile bird flight is switching quickly between stable and unstable gliding
The finding could have implications for future agile autonomous aerial vehicles.
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$1M for open-source first-responder robots
An open-source perception and movement system, to be developed with NSF funding, could enable robots that partner with humans in fires and disaster areas.
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$7.5M MURI to make dynamic AI smarter and safer
Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.
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