Michigan Engineering | University of Michigan What should a robot do when it cannot trust the model it was trained on?
The post Helping robots learn what they can and can’t do in new situations appeared first on Engineering Research News.
Helping robots learn what they can and can’t do in new situations
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Three teams of graduate students awarded prizes for their final projects in Image Processing (EECS 556)
KLA sponsored prizes for three outstanding projects focused on improving image processing for neurosurgery and satellite applications and MRI reconstruction techniques.
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ECE Lab Kit team recognized by the College of Engineering with the Team Staff Excellence Award
When the pandemic shut down in-person instruction, this six-member team created and delivered individual lab kits to 1,200 students around the world so hands-on lab experience could continue.
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3D motion tracking system could streamline vision for autonomous tech
Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype
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Prof. Pei Zhang solemnly swears that he’s up to some good
In a project he calls the “Marauder’s Map,” Prof. Zhang uses machine learning-based data models, physics models, and heuristic models to turn physical structures into sensing devices.
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Artificial photosynthesis devices that improve themselves with use
“Our discovery is a real game-changer. I’ve never seen such stability.”
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U-Michigan, Ford open world-class robotics complex
The facility will accelerate the future of advanced and more equitable robotics and mobility
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A MiTEE student and her quest to shape the future of space satellites
Maya Pandya, an Electrical Engineering senior, is a key member of the student team working to design a new generation of CubeSats that may revolutionize how we monitor space environments and provide a new method for interplanetary communication.
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$6.25 million to develop new semiconductors for artificial photosynthesis
An interdisciplinary team from four universities are developing a new class of semiconductors for novel artificial photosynthesis and the production of clean chemicals and fuels using sunlight, as part of a DoD MURI
The post $6.25 million to develop new semiconductors for artificial photosynthesis appeared first on Engineering Research News.
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Research to advance low-power speech recognition highlighted by Intel
Michael Flynn and his group are applying their groundbreaking work in beamforming to the challenge of low-power on-chip speech recognition.