LM-X：可解释的通用机器人操作动作建模
Original title: LM-X: Explainable Action Modeling with Progress, Event, and Uncertainty Prediction for Generalist Robot Manipulation
IndustryAI 70
Source: arXiv cs.ROPublish time unverified
arXiv:2608.25757v2 Announce Type: replace Abstract: Generalist vision--language--action (VLA) policies learn long-horizon behavior mainly through short-horizon action prediction and reveal little beyond sampled commands. This creates two coupled bottlenecks: a single action target must implicitly absorb task progress, intermediate intent, and local reliability, while these control states remain hidden during execution.