Reinforcement-learning software for a small modular robot
Provide the control software for a 25-centimeter biped robot, using reinforcement-learning policies to operate its motors, camera, and gamepad, with alternate brains for different locomotion hardware.
From Github Awesome — GitHub Trending Today #47: 4DAnyone, microduck, boop, PRAXIST, acryl, pgterm, sepia, OpenInstinct at 00:33
Problem: Replaces handwritten movement gates with learned policies and allows the same robot platform to stand up, walk, or roll.
For: Robot builders and researchers working with small legged or wheeled robots.
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Examples
- microduck: operates a 25-centimeter biped robot at a 50 Hz loop across 15 servos and can load a different brain when wheels are added.