RM-WAM: Reliable Memory-Augmented World Action Models for Long-Horizon Robot Manipulation
아직 한국어판이 없어 영어 원문으로 표시.
초록 발췌
World Action Models (WAMs) improve robotic manipulation by jointly predicting future visual states and actions, yet most existing methods make decisions primarily from the current observation. This limits their reliability in long-horizon tasks, where visually similar states may correspond to different interaction histories and task stages.
초록에서 가져왔습니다. 요약을 준비 중입니다.