Lin Wu

Zhejiang Shuren University, Xi'an Peihua University

Papers

Total Citations

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About

Lin Wu is an emerging researcher working at the intersection of robotics, autonomous systems, and intelligent control algorithms. Their work focuses on developing advanced motion control methodologies and adaptive learning frameworks for robotic applications across healthcare and sports technology domains. A notable contribution is their investigation into tennis robot motion control using ant colony algorithms, which advances visual recognition and automatic control technology to enable robots to autonomously detect and retrieve tennis balls — a practically significant challenge in sports automation. Their research on patient monitoring interactive event-detecting robots introduces regulating learning modules that enhance the responsiveness and reliability of healthcare robotics, reflecting a commitment to socially impactful applications. While Wu's publication record is still developing, with their most-cited works each accumulating 2 citations since 2022 and 2024 respectively, the breadth of domains addressed — from bio-inspired optimization algorithms to clinical monitoring systems — suggests a versatile research profile poised for growth. Students and practitioners in human-robot interaction, swarm intelligence-based control, and medical robotics will find Wu's contributions a valuable starting point for exploring practical robotic system design.