Humanoid Perceptive Locomotion
September 21, 2026
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1 min read
Abstract
Train a humanoid robot perceptive locomotion policy using RL. The end-to-end policy receives depth image and proprioceptive observation as input and outputs desired joint angles.
Demo Video
Authors
YasenJia
(he/him)
Robotics Enthusiast
I am a graduate student of BIT(Beijing Institute of Technology, China), majoring in Intelligent Robot and System, supervised by Prof.Yan Huang. Before that, I received my bachelor’s degree in Mechatronical Engineering from BIT.