Jin-Peng Xiao

CableVLA is presented, an end-to-end multimodal vision-language-action framework that converts simulation-privileged supervision into deployable cable-topology and tactile representations and cross-simulator and real-robot comparisons further examine zero-shot policy transfer under changes in dynamics and sensing.

PFDS enables a wheel-legged robot to transport five free-rolling spheres simultaneously, overcoming critical limitations in existing reinforcement learning methods.