Amadi Senarath

Sri Lanka Institute of Information Technology

Papers

Total Citations

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About

Amadi Senarath is a robotics researcher whose work centers on autonomous navigation and motion planning for mobile robots in unknown environments. Their primary contribution is the development of a novel navigation algorithm that leverages potential field graphs, enabling robots equipped with the Robot Operating System (ROS) to traverse unfamiliar indoor spaces without human intervention. This approach, demonstrated using the TurtleBot3 Burger platform, addresses a fundamental challenge in robotics: safe, real-time pathfinding without pre-mapped layouts. Senarath’s most-cited paper, "Moving Robots in Unknown Environments Using Potential Field Graphs" (2022), has garnered 10 citations, marking it as a foundational reference for researchers exploring reactive navigation strategies. By integrating potential fields with graph-based decision-making, their work offers a computationally efficient alternative to traditional SLAM-dependent methods, making it particularly valuable for low-cost robotic platforms. Senarath’s research bridges theory and practical deployment, with implications for search-and-rescue, warehouse automation, and domestic service robots. Their contributions continue to influence the development of more adaptive and resilient autonomous systems.