AI RESEARCH
CoMPAS3D: A Dataset and Benchmark for Interactive Motion
arXiv CS.LG
•
ArXi:2507.19684v2 Announce Type: replace Socially interactive humanoid robots must engage with humans through their bodies, adapting in real time to a partner's movement, intent, and abilities. This requires models that understand not just how bodies move, but what movement means in a shared social context. Yet evaluation frameworks for interactive motion generation do not measure whether generated follower motion is legible within a shared movement vocabulary, nor whether it is appropriate to the partner's proficiency level.