We present a radically robust locomotion controller for quadrupedal robots which is trained using reinforcement learning in simulation. It uses no external sensing like cameras or Lidar and relies only on internal sensors like IMU and joint encoders.
Learn more about this work on our project website:
leggedrobotics.github.io/rl-b...
Paper links:
- Science Robotics: robotics.sciencemag.org/conte...
- Author's version: arxiv.org/abs/2010.11251
Video by Joonho Lee
Негізгі бет Ғылым және технология Learning Quadrupedal Locomotion over Challenging Terrain
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