可指令智能体的规划与控制解耦
Original title: Decoupling Planning and Control for Instructable Agents
IndustryAI 72
Source: arXiv cs.ROPublish time unverified
arXiv:2608.26788v1 Announce Type: cross Abstract: Recent work shows that pre-trained, instruction-tuned vision-language models (VLMs) perform well at mapping from instructions and observations to high-level plans, but struggle to realize such plans as reliable low-latency action sequences in unfamiliar environments. At the same time, world-model controllers excel at fast observation-to-action control, but lack open-ended task guidance.