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cs.RO2026
SLoSa: Small, Low-Power, and Safe Foundation Models for Robotic Task Planning
Weizhe Xu, Jialiang Fan, Essien Taylor +3
Safe robotic task planning requires planners that can reliably achieve task goals while satisfying safety constraints. Classical planners search over explicit symbolic task represe…
cs.RO2026
RedFlow: Redirect Failure into Action-level Corrections for Flow-matching VLA Policy
Zhengyang Yan, Junhao Li, Fangqi Zhu +6
Reinforcement learning (RL) can improve Vision-Language-Action (VLA) policies from deployment experience, but reward- and preference-based RL primarily identifies desirable behavio…