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A University of Science and Technology Beijing team used deep reinforcement learning on 95 real flights of USTButterfly-II to redesign flapping wings, lifting its lift performance parameter by 339 percent. The work appears in Nature's npj Robotics and offers a concrete design tool for flapping robots.
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