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Graph-driven Single-Robot Multi-Cognitive Agent System architecture for human–robot collaborative disassembly
DOI:10.1016/j.rcim.2025.103207.png)
摘要
En 中文
• 图驱动单机器人多认知智能体框架。
• 基于注意力的动态智能体角色分配。
• 模型上下文协议:机器人拆解的决策-动作。
• 实验验证了拆解的适应性。
期刊
R
IF:
11.4
论文数:
3.3K
被引数:
1.3W
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引用论文
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Xia, L.; Hu, Y.; Pang, J.; Zhang, X.; Liu, C. Leveraging Large Language Models to Empower Bayesian Networks for Reliable Human-Robot Collaborative Disassembly Sequence Planning in Remanufacturing. IEEE Trans. Ind. Inform. 2025, 21, 3117–3126. [Google Scholar] [CrossRef]夏, L.; 胡, Y.; 庞, J.; 张, X.; 刘, C. 利用大型语言模型增强贝叶斯网络,以实现再制造中可靠的人机协作拆卸序列规划。IEEE 交易. 工业信息学, 2025, 21, 3117–3126. [Google Scholar] [CrossRef]
Deploying OWL ontologies for semantic mediation of mixed-reality interactions for human-robot collaborative assembly为人机协作装配的混合现实交互的语义中介部署OWL本体

