Tsai-Sheng Lee

Lunghwa University of Science and Technology

Papers

Total Citations

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About

Tsai-Sheng Lee is a researcher whose work focuses on the intersection of mobile robotics and bio-inspired computational intelligence. His most cited paper, "Plan on Obstacle-Avoiding Path for Mobile Robots Based on Artificial Immune Algorithm" (2007), introduces a novel approach to autonomous navigation by leveraging the adaptive mechanisms of the artificial immune system. This work, with 5 citations, demonstrates his contribution to developing more robust and flexible path-planning algorithms that enable robots to dynamically avoid obstacles in complex environments. Lee's research is significant for advancing the application of immune-inspired algorithms in robotics, offering a biologically plausible alternative to traditional path-planning methods. His work has implications for improving the autonomy and safety of mobile robots in real-world settings, from industrial automation to service robotics. By integrating principles from immunology with engineering challenges, Lee has carved out a niche that bridges theoretical computer science and practical robotic systems. His contributions continue to inspire further exploration into how natural defense mechanisms can inform intelligent robotic behavior.