Cross-Robot Object Recognition is a multi-robot perception task that involves identifying and matching objects observed by different robots in a shared environment, distinguishing itself from other perception tasks by enabling consistent object-level understanding across heterogeneous robotic agents operating in decentralized and potentially non-overlapping viewpoints.