Toward Hardware-Agnostic Quadrupedal World Models via Morphology Conditioning
DGX agentarXiv:2604.08780v1 Announce Type: cross Abstract: World models promise a paradigm shift in robotics, where an agent learns the underlying physics of its environment once to enable efficient planning a