Evidence-Gated Task and Motion Planning with Vision-Language Models
Research
Source: arXiv cs.ROPublish time unverified
arXiv:2608.20084v1 Announce Type: new Abstract: Robots executing long-horizon manipulation tasks from natural-language instructions must reason about both semantic task structure and geometric feasibility. However, under partial observability, the availability of goal-relevant objects may be uncertain.