Papers
6
Total Citations
63
H-Index
5
About
Dilan Amarasinghe is a roboticist whose research focuses on autonomous mobile robot navigation, sensor fusion, and dexterous manipulation. His early work pioneered landmark detection and localization using integrated laser-camera sensors, enabling robots to reliably identify features like wall edges and furniture for precise positioning in indoor environments. His contributions to vision-based hybrid control strategies for autonomous docking and parking have been foundational for applications requiring millimeter-level alignment against targets, with his 2005 and 2007 papers on these topics each garnering 14 and 11 citations respectively. Amarasinghe also advanced safe navigation through robust moving object detection using laser range data, a technique that processes consecutive scans to identify dynamic obstacles. His most recent work (2024) introduces a novel underactuated tendon-driven robotic finger with joint-mobility modulation, enhancing adaptive grasping for hand prostheses. Across his career, his research has accumulated over 60 citations, demonstrating sustained impact in both mobile robotics and robotic manipulation. His integrated sensor systems and control schemes remain relevant references for researchers developing autonomous robots for logistics, service, and assistive applications.
Research Focus
Key Achievements
Top Papers
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- 3Moving Object Detection in Indoor Environments Using Laser Range Data13 citations · 2006
- 4Vision-based hybrid control scheme for autonomous parking of a mobile robot11 citations · 2007
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