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University of Michigan

What we do

Work together. Create smart machines. Serve society. University of Michigan’s Robotics Institute aims to create a collaborative community of roboticists, where through mutual respect, integrity in action, and transparency in thought, we accelerate socially beneficial advances in robotics. This community will collaborate in a new $75 million facility, to be completed in 2020, featuring shared laboratory space with state-of-the-art infrastructure. Michigan Robotics, rooted in the College of Engineering, connects to university and statewide strengths in medical innovation, advanced manufacturing, autonomous systems and automotive research. With these foundations, Michigan Robotics fosters a culture of collegiality, diversity, and cross-disciplinary problem solving to create smart machines that serve societal needs.

Latest Posts

Strong enough to move soft robots and medical capsules, weak enough to not ruin MRI images

Squishy, metal-free magnets to power robots and guide medical implants

The findings could help engineers methodically find the best molecules to increase the lifespan of perovskite solar cells, rather than relying on time-consuming trial and error.

Bulky additives could make cheaper solar cells last longer

Lights could soon use the full color suite of perfectly efficient organic light-emitting diodes, or OLEDs, that last tens of thousands of hours, thanks to an innovation from physicists and engineers at the University of Michigan.

Blue PHOLEDs: Final color of efficient OLEDs finally viable in lighting

The University of Michigan, May Mobility and the City of Detroit look to boost public trust in self-driving vehicle technology.

Automated shuttle planned for Detroit starts safety testing at Mcity

Taking inspiration from the word-predicting large language models, a U-M team is kickstarting an atom-predicting model with 200,000 node hours on Argonne’s Polaris.

Building a chemical 'GPT' to help design a key battery component

Automation uncovers combinations of amino acids that feed two bacterial species and could tell us much more about the 90% of bacteria that humans have hardly studied.

AI could run a million microbial experiments per year