Papers
10
Total Citations
175
H-Index
7
About
A. Balasuriya’s research lies at the intersection of autonomous underwater robotics, assistive technology, and multisensor navigation. Their most influential work focuses on developing intelligent systems for underwater plume tracking, target tracking, and terrain-aided navigation using autonomous underwater vehicles (AUVs). Balasuriya pioneered vision-based target tracking for underwater robots, demonstrating how optical flow and template matching can estimate object speed and guide AUV navigation—a contribution cited over 100 times across their top papers. Notably, their 2011 paper on constructing a distributed AUV network for underwater plume-tracking operations (46 citations) addresses critical environmental challenges like oil spill monitoring and harmful algal bloom detection. Beyond underwater robotics, Balasuriya developed an electrooculography (EOG)-based control system for mobile assistive platforms (43 citations), enabling severely disabled individuals to operate robots using eye movements alone. Their work also advanced laser-camera fusion for mobile robot navigation in challenging environments and multisensor data fusion for AUV localization. Balasuriya’s research has been instrumental in bridging computer vision, sensor fusion, and practical robotics for environmental monitoring and assistive applications, making them a key figure in autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2EOG based control of mobile assistive platforms for the severely disabled43 citations · 2005
- 3Autonomous target tracking by underwater robots based on vision23 citations · 2002
- 4A laser and a camera for mobile robot navigation20 citations · 2004
- 5Optical flow based speed estimation in AUV target tracking15 citations · 2002
- 6Target tracking by underwater robots8 citations · 2002
- 7Vision data fusion for target tracking8 citations · 2003
- 8
- 9
- 10Underwater robots for cable following3 citations · 2002