October 30 News: Tsinghua University, in collaboration with Infinigence AI and AgiBot, has proposed the Collective Experience Learning (CEL) paradigm and completed large-scale validation on a cluster of 96 real robots. This paradigm enables robots to learn not only from human demonstrations but also from the successful experiences of other robots in the swarm. By sharing and accumulating experience, the robot swarm can jointly enhance its capabilities through continuous practice, providing a new technical pathway for the autonomous evolution and large-scale application of robots.