Tsinghua, Infinite Synergy and AgiBot propose collective experience learning for embodied AI
AITsinghua University, Infinite Synergy and AgiBot propose Collective Experience Learning (CEL), in which robots learn from successful experiences of other robots instead of relying mainly on human demonstrations. In tests with 96 real robots, the robots' success rate on a phone-packaging task rose from 79.2% to 98.3%, and the success rate rose from 86.7% to 98.3% as robot count grew from 16 to 96.
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QbitAI · 量子位的朋友们 · qbitai.comPublished · added here
Original title: 从学习人类到学习机器人同伴，清华大学联合无问芯穹、智元提出具身智能规模化落地新路径