Gayan Kahandawa
Papers
14
Total Citations
151
H-Index
7
About
Gayan Kahandawa is a leading researcher in autonomous mobile robotics, specializing in path planning and navigation for dynamic, GPS-denied environments. His most significant contribution is the development of the **Agoraphilic Navigation Algorithm**, a human-like, optimistic approach that uses free-space attraction to guide robots safely through unknown, cluttered spaces. This work, spanning multiple publications from 2019 to 2023, has garnered over 30 citations and represents a novel departure from traditional obstacle-avoidance methods. His highly cited 2022 review, "Past, Present and Future of Path-Planning Algorithms for Mobile Robot Navigation in Dynamic Environments" (69 citations), provides a comprehensive roadmap for the field, covering applications from mining to healthcare. Kahandawa has also advanced the integration of machine learning into robotic control and explored the use of electromyography (EMG) signals for exoskeleton development, a topic of a 2025 review (17 citations). His research extends into industrial cybersecurity, examining risks in automated food processing. With over 140 total citations, Kahandawa’s work is essential reading for anyone developing robust, intelligent navigation systems for real-world, unpredictable environments.
Research Focus
Key Achievements
Top Papers
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- 4Agoraphilic Navigation Algorithm Under Dynamic Environment8 citations · 2021
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