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Feng Lu, Qinping Zhao. Cobodied AI[J]. Computing Magazine of the CCF, 2025, 1(4): 92−94. DOI: 10.11991/cccf.202508014
Citation: Feng Lu, Qinping Zhao. Cobodied AI[J]. Computing Magazine of the CCF, 2025, 1(4): 92−94. DOI: 10.11991/cccf.202508014

Cobodied AI

  • This article elaborates on the concept, characteristics, and key technologies of “Cobodied AI”. Characterized by “dual-brain integration” and “human-AI co-embodiment”, Cobodied AI enables collaborative perception, decision-making, and execution between human intelligence and artificial intelligence in shared environments. This also results in AI learning and evolution through dual feedback from both humans and the environment, shifting the role of AI from replacing to collaborating with humans. In the long term, the “cobodied” paradigm will gradually evolve toward “symbodied”.
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