2 papers
cs.CV2026
ME-Dex 1.0: Bringing Heterogeneous Tactile Sensing into World Action Modeling
Xuancheng Zhang, Xuetao Liu, Qianying Tang +8
World Action Models bring the predictive capabilities of video models into robot action generation, providing a rich foundation for modeling future visual states. Tactile sensing c…
cs.RO2026
CKT-WAM: Parameter-Efficient Context Knowledge Transfer Between World Action Models
Yuhua Jiang, Yijun Guo, Hongbing Yang +7
World action models (WAMs) provide a powerful generative framework for embodied control, yet transferring knowledge across heterogeneous WAMs remains challenging due to mismatched…