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cs.CV2026
World2Act: Latent Action Post-Training from World Model Dynamics
An Dinh Vuong, Tuan Van Vo, Abdullah Sohail +6
World Models (WMs) offer a promising mechanism for post-training Vision-Language-Action (VLA) policies by providing dynamics priors that improve generalization under task and scene…
cs.RO2026
Foundation and Small Models Coordination for Visuomotor Policy Learning
Haoran Ding, Liang Ma, Yaxun Yang +7
Visuomotor policy learning enables robots to perform a wide range of tasks, but small policy models often remain sensitive to changes in object and background appearance. In this w…