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Creators/Authors contains: "Wang, Lihui"

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  1. ; ; ; (, CIRP Annals)
    Assembly in future smart factories needs to address three challenges, including human centricity, sustainability, and resilience. Conventional approaches for automation in assembly have reached a bottleneck in terms of operation automomy, leaving various tasks to continued manual labour by human operators. To ease the burden on humans both physically and intellectually, human-centric assembly enhanced by augmented robots, cognitive systems, mixed reality and collaborative intelligence, assisted by thought-driven brain robotic controls, provides a promising solution. Within the context, this keynote provides an in-depth analysis of the state of human-centric assembly and identifies potentially fruitful research directions in future smart factories 
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    Free, publicly-accessible full text available May 15, 2026
  2. ; ; ; ; (, IEEE)
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  3. ; ; ; (, CIRP Annals)
    Autonomous robots that understand human instructions can significantly enhance the efficiency in human-robot assembly operations where robotic support is needed to handle unknown objects and/or provide on-demand assistance. This paper introduces a vision AI-based method for human-robot collaborative (HRC) assembly, enabled by a large language model (LLM). Upon 3D object reconstruction and pose establishment through neural object field modelling, a visual servoing-based mobile robotic system performs object manipulation and navigation guidance to a mobile robot. The LLM model provides text-based logic reasoning and high-level control command generation for natural human-robot interactions. The effectiveness of the presented method is experimentally demonstrated. 
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  4. ; ; ; (, Elsevier)
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  5. ; ; ; ; ; (, Procedia CIRP)
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  6. ; ; ; (, CIRP Annals)
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  7. ; ; ; (, CIRP Annals)
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  8. ; ; ; ; (, CIRP Annals)
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