Shibo Yuan

Papers

Total Citations

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About

Shibo Yuan is a researcher advancing the field of intelligent manufacturing and human-robot collaboration, with a focus on optimizing industrial automation processes. His work centers on developing efficient task allocation strategies for human-robot collaborative assembly, where he has proposed novel frameworks that balance productivity and safety in shared workspaces. Yuan’s most cited paper, “Evaluation of Human-Robot Collaborative Assembly Task Allocation Plan” (2021), has garnered 6 citations and provides a systematic method for assessing and improving task distribution between human workers and robotic systems, addressing critical challenges in flexible manufacturing. He has also contributed to multi-robot coordination through his work on welding path planning, utilizing an improved ant colony algorithm to enhance efficiency in complex industrial environments. Yuan’s research bridges the gap between theoretical optimization and practical implementation, offering scalable solutions for modern assembly lines. His contributions are particularly relevant for students and researchers exploring human-robot interaction, swarm robotics, and production system design, as he provides actionable insights into reducing cycle times and improving task ergonomics. With a growing citation footprint, Shibo Yuan is establishing himself as a promising voice in the evolution of collaborative and autonomous manufacturing systems.