Papers
1
Total Citations
3
H-Index
1
About
Jianhui Pang is a pioneering researcher at the intersection of embodied artificial intelligence, human-robot collaboration, and digital twin technology. Their most influential work, "From insight to action: Embodied multi-agent system integrating vision language model for digital twin-assisted human-robot collaborative assembly" (2026), has already garnered 3 citations, signaling its early impact on advancing autonomous manufacturing systems. Pang’s key contributions lie in developing multi-agent frameworks that seamlessly integrate vision-language models with digital twins, enabling robots to interpret human intent and adapt to dynamic assembly tasks in real time. This work bridges the gap between high-level reasoning and physical action, a critical step toward more intuitive and efficient human-robot teams. By embedding cognitive capabilities into collaborative systems, Pang has addressed fundamental challenges in Industry 4.0, such as reducing human error and enhancing production flexibility. Their research not only pushes the boundaries of embodied AI but also provides practical solutions for smart factories, where digital twins serve as virtual testbeds for optimizing assembly processes. With a focus on translating theoretical insights into deployable technologies, Jianhui Pang is shaping the future of human-centric automation, making them a notable figure in the evolving landscape of intelligent manufacturing and human-robot interaction.
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Top Papers
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