AI RESEARCH
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
arXiv CS.AI
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ArXi:2603.16673v1 Announce Type: cross Embodied robotic systems increasingly rely on large language model (LLM)-based agents to high-level reasoning, planning, and decision-making during interactions with the environment. However, invoking LLM reasoning