We have seen plenty of robots that can jump, roll, and recover after a fall. Teaching them to jump very high comes with its own unique challenges. This video from Open Dynamic Robot Initiative shows how a quadruped learns to jump as high as possible using Bayesian optimization with unknown constraints (BOC).
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Learning to jump high!
The robot learns to avoid failures and what is causing them. You can find out more about it here.
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