A.H.A.D. Abeysekara
Papers
1
Total Citations
2
H-Index
1
About
A.H.A.D. Abeysekara is a robotics researcher whose work centers on sensor fusion, autonomous navigation, and perception systems for mobile robots. Their key contributions lie in developing robust positioning and depth estimation techniques for reconnaissance robots operating in challenging indoor environments. In their notable 2015 paper, "Depth map generation for a reconnaissance robot via sensor fusion," Abeysekara designed an accurate indoor positioning system for an omnidirectional robot by fusing odometry and inertial data, effectively compensating for wheel slip and jerky motion. They also implemented a stereo vision-based depth estimation system, enabling the robot to perceive its surroundings in three dimensions. While their citation count of 2 reflects a focused, early-career impact, the work demonstrates a practical engineering approach to solving real-world navigation problems—integrating multiple sensors to achieve reliability where single-sensor systems fail. This research contributes to the broader field of autonomous ground vehicles, particularly for search-and-rescue or surveillance applications where precise localization and environmental mapping are critical. Abeysekara’s work exemplifies the importance of sensor fusion in creating resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Depth map generation for a reconnaissance robot via sensor fusion2 citations · 2015