Min Li

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.

Depth images can revolutionize skeleton detection, outperforming traditional RGB-based methods while using significantly fewer parameters.