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cs.RO2026
DeltaWAM: Change-Centric Visual Foresight via Delta Tokens for an Efficient World-Action Model
Tianyun Jiang, Wenrui Bao, Bingxin Xu +2
World-Action Models (WAMs) offer visual foresight for robotic manipulation, but pixel-space models repeatedly reconstruct entire future scenes, incurring high computational cost an…
cs.RO2026
Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot Learning
Wenrui Bao, Tianyun Jiang, Zhiben Chen +3
Learning reliable surgical manipulation policies is bottlenecked by the scarcity of action-labeled demonstrations: teleoperated surgical robot (e.g., dVRK) trajectories with synchr…