Caltech researchers analyzed a flapping robot’s 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.

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