具身智能观察

SANTS: A State-Adaptive Scheduler for World Action Models

技术动态

来源:arXiv cs.RO发布时间待核实

arXiv:2605.27947v3 Announce Type: replace Abstract: World Action Models (WAMs) improve robot manipulation by using video-based future representations to condition action generation. In pixel-space WAMs, however, the best action condition is not necessarily the fully denoised video.