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cs.RO2026
Refine Actions If Needed: Adaptive Action Chunk Refinement for Robot Manipulation
Hanlin Liu, Zichen Zhou, Jiacheng Zhang +6
Computationally lightweight manipulation policies predict executable actions with low inference latency, but prediction errors can limit task success. Iterative generative policies…
cs.RO2026
Radar2Plan: Benchmarking 4D Radar for End-to-End Open-Loop Ego-Trajectory Planning
Ling Yao, Yichun Xiao, Jin Jin +2
Adverse weather and poor illumination remain major challenges for robust ego-trajectory planning in mobile autonomy. 4D radar offers reliable sensing under adverse conditions and d…
cs.RO2026
GUIDE: Goal-Initialized Directional Understanding for End-to-End Legged Navigation
Liang Wang, Jin Jin, KanZhong Yao +6
End-to-end reinforcement learning (RL) has shown strong potential for legged robot navigation, yet existing approaches commonly rely on continuously updated robot-to-goal states fr…