Observing joint behavior between two robots reveals hidden physical constraints better than observing a single constrained robot, enabling effective zero-shot coordination without explicit communication.
This paper tackles a practical robotics problem: how can one robot learn another robot's physical limitations (like broken joints or weak actuators) just by watching them work together, then use that knowledge to coordinate effectively on new tasks? The authors show that by analyzing how both robots move together, you can infer hidden constraints better than looking at just one robot alone.