Minuli Lokuliyanage

Sri Lanka Institute of Information Technology

Papers

Total Citations

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About

Minuli Lokuliyanage is a robotics researcher whose work centers on autonomous navigation and control in unknown environments. Her most-cited paper, "Moving Robots in Unknown Environments Using Potential Field Graphs" (2022, 10 citations), introduces a novel navigation algorithm for ROS-based robots, enabling complete autonomous traversal in indoor settings. Using the TurtleBot3 Burger as a test platform, she developed a method that combines potential field theory with graph-based path planning, allowing robots to dynamically avoid obstacles and adapt to unfamiliar layouts without pre-mapped data. This contribution addresses a critical challenge in mobile robotics—safe, real-time navigation in unstructured spaces—and has been cited by peers working on sensor fusion and SLAM improvements. Lokuliyanage’s research is particularly relevant for applications in warehouse automation, search-and-rescue, and domestic service robots. Her work demonstrates a strong grasp of both theoretical control systems and practical ROS implementation, making her a rising voice in the field of autonomous robotics. With continued development, her potential field graph approach could become a standard tool for low-cost, sensor-limited platforms.