具身智能观察

迈向物理接地 JEPA 世界模型的目标条件机器人规划

原标题:Toward Physically Grounded JEPA World Models for Goal-Conditioned Robotic Planning

技术动态AI 85

来源:arXiv cs.RO发布时间待核实

arXiv:2609.03565v1 Announce Type: new Abstract: Action-conditioned JEPA world models enable planning toward visually specified goals without reconstructing future pixels, yet latent prediction alone does not explicitly encourage the learned representations to retain information relevant to robotic control. We introduce an end-to-end JEPA world model that augments latent prediction with inverse dynamics (IDM) and state alignment (SA).