Chi-Wen Lo

Institute of Information Science, Academia Sinica, Academia Sinica

Papers

Total Citations

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About

Chi-Wen Lo is a researcher in intelligent robotics and autonomous navigation, with a focus on developing control systems for mobile robots in surveillance and complex environments. His work integrates fuzzy logic, computer vision, and path planning to enhance robot autonomy. Notably, his most cited paper, "Wall following and human detection for mobile robot surveillance in indoor environment" (2014, 7 citations), introduces a type-2 fuzzy logic-based differential velocity control for wall following, coupled with human detection capabilities, advancing indoor surveillance systems. Another key contribution, "An Intelligent Control System for Mobile Robot Navigation Tasks in Surveillance" (2014, 6 citations), further refines navigation for security applications. Lo also explores theoretical challenges in "3D path planning based on nonlinear geodesic equation" (2014, 4 citations), proposing shortest-path algorithms for robots traversing parametrized 3D surfaces, a novel approach for wheelchair and mobile platform navigation. Earlier work, "Computer-Aided Mobile Robot Control Based on Visual and Fuzzy Systems" (2012, 2 citations), demonstrates his foundational integration of visual and fuzzy control. With a cumulative impact of 19 citations, Lo’s research bridges practical surveillance needs with advanced control theory, offering valuable insights for students and researchers in robotics, autonomous systems, and human-robot interaction.