Michigan Engineering | University of Michigan The unexpected journey of father-and-daughter Raytheon engineers.
Footsteps all her own
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Historic satellite launch brings U-M history to space
Planning to launch mid-2018, an exciting team of Michigan students is designing a space-based time capsule.
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Student’s digital art makes the Cube even more interactive
Keenan Rebara hopes to add to the fun of spinning the Cube using his a bit of physics and sensors.
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Bionic heart tissue: U-Michigan part of $20M center
Scar tissue left over from heart attacks creates dead zones that don’t beat. Bioengineered patches could fix that.
The post Bionic heart tissue: U-Michigan part of $20M center appeared first on Engineering Research News.
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Getting people moving – Walking exoskeletons could mobilize disabled patients
Prof. Jessy Grizzle has long said that his work in robotics could one day be used to help the disabled. Now he and his group, alongside French company Wandercraft, are working to make that claim a reality in the form of walking exoskeletons.
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Latest two-legged walking robot arrives at Michigan
Built to handle falls, and with two extra motors in each leg, the new robot will help U-M roboticists take independent robotic walking to a whole new level.
The post Latest two-legged walking robot arrives at Michigan appeared first on Engineering Research News.
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BigANT tackles the wave field
Prof. Shai Revzen’s lab in ECE has developed an inexpensive technique to rapidly fabricate a variety of useful robots.
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IGARSS Interactive Symposium Paper Award for modeling the world’s forests
The paper outlines a better way to quantify forest structure, which has been successful in two tree species.
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$7.75M for mapping circuits in the brain
A new NSF Tech Hub will put tools to rapidly advance our understanding of the brain into the hands of neuroscientists.
The post $7.75M for mapping circuits in the brain appeared first on Engineering Research News.
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Fred Buhler builds better chips for “Aweslome” applications
Fred Buhler founded Aweslome to provide custom-build chips for a broad range of applications, including machine learning, neural networks, security, and circuits testing.