AI RESEARCH
When to Trust Imagination: Adaptive Action Execution for World Action Models
arXiv CS.AI
•
ArXi:2605.06222v1 Announce Type: cross World Action Models (WAMs) have recently emerged as a promising paradigm for robotic manipulation by jointly predicting future visual observations and future actions. However, current WAMs typically execute a fixed number of predicted actions after each model inference, leaving the robot blind to whether the imagined future remains consistent with the actual physical rollout.