Ashanie Gunathillake
Commonwealth Scientific and Industrial Research Organisation
Papers
5
Total Citations
56
H-Index
4
About
Ashanie Gunathillake is a researcher whose work lies at the intersection of robotics, wireless sensor networks, and autonomous navigation. Her primary research focuses on developing innovative algorithms for mobile robot navigation and sensor network topology mapping, particularly in challenging environments where traditional GPS or gradient-based methods fail. Her major contribution is the creation of "maximum likelihood topology maps"—a technique that uses connectivity information to estimate the spatial layout of sensor nodes without requiring precise physical coordinates. This approach, detailed in her most-cited paper "Sensor-Network-Based Navigation of a Mobile Robot for Extremum Seeking Using a Topology Map" (31 citations), enables robots to navigate toward emergency sources (e.g., gas leaks or radiation) using only sensor network connectivity data. Gunathillake has extended this work to 2D and 3D environments, including millimeter-wave sensor networks with directional antennas, demonstrating the versatility of her methods. Her research has significant implications for search-and-rescue operations, environmental monitoring, and next-generation wireless communication systems, where reliable navigation in complex, obstructed environments is critical.
Research Focus
Key Achievements
Top Papers
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