MER Lab conducts research on dexterous manipulation strategies and their applications. We integrate computer vision, control theory, and machine learning techniques to design skillful and robust robots.
One of the essential goals of the MER Lab is to identify environmental problems (e.g. recycling, waste sorting) that robots can alleviate, and to develop solutions for the missing manipulation capabilities.
MER Lab also works on benchmarking efforts for robotic manipulation in collaboration with various other research labs.
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