5 papers · 1 filter
Perceptive Variable-Timing Footstep Planning for Humanoid Locomotion on Disconnected Footholds
Zhaoyang Xiang, Upama Pant, Ayonga Hereid
Many real-world walking scenarios contain obstacles and unsafe ground patches (e.g., slippery or cluttered areas), leaving a disconnected set of admissible footholds that can be mo…
Adaptive Step Duration for Accurate Foot Placement: Achieving Robust Bipedal Locomotion on Terrains with Restricted Footholds
Zhaoyang Xiang, Victor Paredes, Guillermo A. Castillo +1
Traditional one-step preview planning algorithms for bipedal locomotion struggle to generate viable gaits when walking across terrains with restricted footholds, such as stepping s…
Learning Terrain Aware Bipedal Locomotion via Reduced Dimensional Perceptual Representations
Guillermo A. Castillo, Himanshu Lodha, Ayonga Hereid
This work introduces a hierarchical strategy for terrain-aware bipedal locomotion that integrates reduced-dimensional perceptual representations to enhance reinforcement learning (…
Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation
Chengyang Peng, Zhihao Zhang, Shiting Gong +3
Safe and real-time navigation is fundamental for humanoid robot applications. However, existing bipedal robot navigation frameworks often struggle to balance computational efficien…
Real-Time Safe Bipedal Robot Navigation using Linear Discrete Control Barrier Functions
Chengyang Peng, Victor Paredes, Guillermo A. Castillo +1
Safe navigation in real-time is an essential task for humanoid robots in real-world deployment. Since humanoid robots are inherently underactuated thanks to unilateral ground conta…