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About this paper
Zhaoyang Zhang, Lingxiao Sun, Weijie Zhou, Chunhui Feng, Zhaohui Yang, Xuan Cheng, Tianyi Qin, Zhixian Kong and 3 more
The survey presents MEAN, a task-centered framework coordinating reasoning, semantic token exchange, and reinforcement learning with network and physical feedback. Large AI models plan, tokens share task-relevant context, and reinforcement learning adapts orchestration. A cited drone prototype illustrates a chair-approach task, but does not validate MEAN across tasks or conditions; integrated benchmarking remains an open need.
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