8 citations · 8 across the 6 of their papers we have counts for
3 papers · 1 filter
GM-Loco: Terrain-Adaptive Humanoid Locomotion on Granular Media
Junnosuke Kamohara, Feiyang Wu, Andy Ningan Zong +4
Humanoid locomotion on granular terrain remains a significant challenge due to its complex foot-terrain interaction dynamics that are difficult to model. Existing approaches either…
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
Zhaoyuan Gu, Yipu Chen, Zimeng Chai +11
Humanoid loco-manipulation requires coordinated task-space motion planning with stable loco-manipulation command tracking under complex robot-environment dynamics and long-horizon…
TRAIN: Terrain-Aware Interactive Navigation for Quadruped Robots via Reinforcement Learning
Wei Zhu, Irfan Tito Kurniawan, Ye Zhao +1
This study introduces TRAIN: TeRrain-Aware Interactive Navigation, a deep reinforcement learning (DRL)-based framework for quadrupedal navigation across unstructured terrain and hu…