Author name: Hojoon Kim, Yuheng Wu, Thierry Tambe

arXiv:2604.24039v1 Announce Type: cross
Abstract: Embodied AI agents increasingly rely on large language models (LLMs) for planning, yet per-step LLM calls impose severe latency and cost. In this paper, we show that embodied tasks exhibit strong plan …