Chengye Liao

WuFeng University, National Chung Cheng University, Shanghai Jiao Tong University

Papers

Total Citations

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About

Chengye Liao is a robotics researcher whose work spans autonomous mobile systems, robot power management, and physics-based simulation. Best known for pioneering contributions to autonomous recharging systems for security robots, Liao's 2005 paper on automatic docking and recharging — his most cited work with 38 citations — addressed a critical practical challenge in keeping mobile robots operational over extended periods without human intervention. Building on this foundation, his 2006 follow-up introduced a vision-based docking strategy, using landmark detection to guide robots precisely to recharging stations, demonstrating a sophisticated integration of computer vision and autonomous navigation. More recently, Liao has expanded his research into robotic simulation environments, with a 2023 comparative study evaluating five major physics engines — including MuJoCo, Bullet, and DART — for accuracy and computational performance in multi-joint robot simulations. This work, already accumulating citations, reflects the growing importance of reliable simulation tools in modern robotics research and development. Across nearly two decades of contributions, Liao's research consistently addresses real-world engineering challenges in robotics, from ensuring uninterrupted robot operation to validating the computational tools researchers depend on for safe and efficient robot design.