Learning Bipedal Walking On Planned Footsteps For Humanoid Robots
Author:
Affiliation:
1. National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory) IRL,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9999736/9999739/10000067.pdf?arnumber=10000067
Reference25 articles.
1. Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking
2. ALLSTEPS: Curriculum‐driven Learning of Stepping Stone Skills
3. Synthesis of constrained walking skills
4. MuJoCo: A physics engine for model-based control
5. Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot
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3. Global footstep planning with greedy and heuristic optimization guided by velocity for biped robot;Expert Systems with Applications;2024-03
4. ZMP — Where Are We After Fifty-Five Years?;International Journal of Humanoid Robotics;2024-01-12
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