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caltech | Machine Learning Adaptation in Swimming Motion @caltech | Uploaded 1 month ago | Updated 1 day ago
Caltech researchers analyzed a flapping robots motions in a tank of oil (left) then amputated a portion of the robot's flapper (right).

The robot was programmed to run repeated trials of various stroke mechanics which were then evaluated through machine learning. Eventually the robot, like an injured fish or insect, was able to achieve a successful alternative form of propulsion with its damaged flapper.

More info: https://www.caltech.edu/about/news/robots-like-animals-can-adapt-after-injuries
Machine Learning Adaptation in Swimming MotionCaltech Convocation 2023The Neurology of Consciousness: From Recovery after Coma to Meditation - Steven Laureys - 6/12/24

Machine Learning Adaptation in Swimming Motion @caltech