Agibot, in collaboration with Tsinghua University and Infinigence AI, has unveiled the Collective Experience Learning (CEL) paradigm, establishing a complete pipeline spanning experience acquisition, experience utilization, and large-scale online learning. This paradigm treats robot peers as mutual sources of experience, turning the successes and failures of real-world operations into shared learning material for the entire collective. As a result, scaling up the robot swarm directly translates into improved task execution reliability, opening a new path for embodied intelligence to achieve autonomous growth and break through the scalability bottleneck caused by the difficulty of growing expert demonstrations in tandem. The paradigm redefines where experience comes from, shifting the human role from providing actions to judging outcomes. Through the FERT (Failure-guided Experience Retrieval Fine-Tuning) algorithm, it overcomes the challenge of sparse feedback in long-horizon tasks, while the FATS (Fault-Tolerant Asynchronous Training System) enables stable training of large-scale clusters — with 96 robots training in parallel incurring only 1.3% loss from failure time. In real-world tests across five tasks — flower arrangement, clothes folding, phone charging, stool assembly, and phone packaging — policies trained with CEL consistently outperformed the average of 6 human teleoperators, achieving an overall task success rate of 97.5%, with a maximum margin of 16.7 percentage points. Within the same physical training time, as the number of robots participating in learning scaled from 16 to 96, the success rate of the phone packaging task climbed from 86.7% to 98.3%. This marks the first validation in embodied intelligence of a new Scaling law: an increase in the number of robots can directly translate into improved task execution capability, enabling robot swarms to autonomously accumulate experience and learn from one another through real-world operations, with experience precipitating as a collective public asset and achieving shared growth.