Peshala Jayasekara
University of Moratuwa, Seoul National University, Tokyo University of Information Sciences
Papers
10
Total Citations
68
H-Index
4
About
Peshala Jayasekara is a robotics and artificial intelligence researcher whose work spans autonomous systems, mobile robotics, and computer vision. With a career bridging foundational robotics research and cutting-edge applied AI, Jayasekara has made meaningful contributions across several interconnected domains. His early work on probabilistic map building using ultrasonic sensors (2006, 11 citations) and multi-robot localization via particle filters (2010) established a strong foundation in autonomous navigation. He later expanded into human-robot interaction and multi-robot coordination, including augmented reality-driven robot team automation. More recently, his research has addressed real-world deployment challenges, with notable work on real-time traffic sign and traffic light detection on embedded systems (2022, 18 citations) demonstrating an ability to deliver practical deep learning solutions under computational constraints. His 2023 collaborative ground-aerial disaster response system (12 citations) highlights a commitment to socially impactful robotics, while his 2024 solar panel cleaning robot reflects growing interest in sustainable automation. Across agriculture, disaster response, transportation, and renewable energy, Jayasekara's research consistently bridges theoretical innovation with tangible application, making his work highly relevant to both academic researchers and industry practitioners seeking intelligent, deployable robotic solutions.
Research Focus
Key Achievements
Top Papers
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- 6Scalable Autonomous Agronomical Smartbot4 citations · 2018
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- 10Towards a Smart Opponent for Board Games: Learning beyond Simulations2 citations · 2020