首页 /研究 /Robust and Versatile Bipedal Jumping Control through Reinforcement Learning
LOCOMOTION

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

发表年份
2023
引用次数
55
访问权限
开放获取

摘要

Flight PhaseFig. 1: Representative dynamic jumping maneuvers performed by a bipedal robot Cassie using the proposed goal-conditioned control policies.From left to right: (a) the robot jumps over 1.4 m and lands at the given target; (b) the robot jumps to a target that is 0.88 m in front of the robot and 0.44 m above the ground, and (c) the robot jumps in place while turning 55 • with a command to turn 60 • in place.The policies are trained in simulation and deployed on the hardware without further tuning.Video is at: https://youtu.be/aAPSZ2QFB-E.

关键词

Reinforcement learningComputer scienceJumpingArtificial intelligenceControl engineeringEngineeringBiology

相关论文

查看 LOCOMOTION 分类全部论文