Tag: Safety
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Versatile knee exo for safer lifting
Helping out the quad muscles kept study participants lifting safely despite fatigue, with an algorithm that smoothly shifts between lifting and carrying tasks.
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With AV Challenge, engineers can put their decision-making algorithms to the test
U-M’s Mcity will provide the first-of-its-kind city-scale virtual proving ground for competitors from industry and academia.
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Auto industry deadlines loom for impaired-driver detection tech, U-M offers a low-cost solution
Current technologies already in use could help prevent crashes and deaths linked to impaired driving.
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Building Flint’s trust in its drinking water
Even with lead service line replacement, the city’s water has issues that require public education.
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$7.5 million to predict and communicate flood risk
Engineers, atmospheric scientists, psychologists and anthropologists team up to develop better flood predictions and ensure decision-makers can understand them.
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World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection
Real-time data collected at the two-lane roundabout will be used to efficiently test the safety of autonomous vehicles.
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Q&A with Henry Liu, Mcity’s new director
University of Michigan’s mobility research center has been realigned under Michigan Engineering.
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Michigan Engineering group creates model for layering COVID-19 defenses
The model can be used as a tool to inform decision-makers and individuals on relative risks and advantages associated with a layered defense.
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Wireless electricity and safety: A Q&A with Alanson Sample
How the safety of a wireless charging room stacks up to that of a cell phone.
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The future of Line 5: Engineering under Lake Michigan
How would Enbridge shut down the controversial pipeline and construct a replacement tunnel?
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Improving construction worker safety with wearable sensors
Wearables track heart rate, fatigue and stress.
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The science behind campus bus changes during COVID-19
Engineers used smoke machines, physics-based modeling and route optimization algorithms to quantify risk.