Papers
1
Total Citations
5
H-Index
1
About
Yan Cen Lin’s research lies at the intersection of robotics, human–robot collaboration, and intelligent motion planning. His most-cited work, “Robot Arm Path Planning with Adaptive Obstacle Avoidance for Man–Robot Collaboration” (2023), addresses a critical challenge in modern manufacturing: enabling robot arms to work safely and efficiently alongside human operators. Lin proposes an adaptive path-planning algorithm that dynamically adjusts robot trajectories in real time, avoiding obstacles—including human co-workers—without sacrificing task speed or precision. This contribution is essential for factories where robots and humans share workspaces, as it balances productivity with safety. With 5 citations since 2023, the paper is gaining traction among researchers in collaborative robotics and industrial automation. Lin’s work is notable for its practical focus: rather than treating humans as static obstacles, his approach models their unpredictable movements, making human–robot teams more viable in real-world settings. His research continues to shape safer, more flexible automation solutions.
Research Focus
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Top Papers
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