Thol Yong Lim

Papers

Total Citations

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About

Thol Yong Lim’s research lies at the intersection of mobile robotics, sensor design, and human-aware navigation. His work addresses fundamental challenges in how robots perceive and move through their environments. Lim’s most cited paper, “Adaptive Phototransistor Sensor for Line Finding” (2012, 10 citations), introduced a novel six-phototransistor array that enables wheeled mobile robots to detect floor lines for precise localization—a practical, low-cost solution for autonomous guidance. He extended this foundation into dynamic human-robot interaction with “Gaussian Pedestrian Proxemics Model with Social Force for Service Robot Navigation” (2017, 6 citations), which models pedestrian behavior to allow robots to navigate crowded spaces safely and socially. Lim also contributed to sensor selection and mapping accuracy in “Performance Evaluation of Various 2-D Laser Scanners for Mobile Robot Map Building and Localization” (2016, 5 citations), providing critical insights into how scanner choice impacts map quality and localization reliability. Though his citation counts are modest, his work is notable for its applied focus on real-world robot navigation challenges—from hardware-level sensor design to high-level social navigation models. Lim’s research offers practical tools for engineers building service and mobile robots that must operate reliably in both structured and unpredictable environments.