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About

Tharindu Weerakoon is a robotics researcher whose work centers on autonomous mobile robot navigation, motion planning, and multi-robot coordination, with a particular focus on overcoming the limitations of traditional path-planning algorithms. His most significant contribution is the development of a deadlock-free mobile robot navigation method using a modified Artificial Potential Field (APF) approach, published in 2015 and cited 109 times. This work directly addresses the well-known local minima problem in APF-based navigation, proposing a solution that enables robots to avoid deadlock in unknown environments. Weerakoon has also made notable contributions to RoboCup Middle-Size League soccer, as part of the "Hibikino-Musashi" team, where he developed motion analysis and control systems for ball dribbling and roller-driven ball kinematics. His research on geometric feature extraction from 2D laser range data further supports robust localization and navigation. With a citation count exceeding 130 across his most-cited works, Weerakoon’s research has practical implications for autonomous systems in dynamic, unstructured environments, making his work valuable for students and researchers in field robotics and multi-agent systems.