Dulanjali Liyanage
Papers
1
Total Citations
2
H-Index
1
About
Dulanjali Liyanage’s research centers on sensor fusion, robotics, and computer vision, with a focus on enabling autonomous systems to perceive and navigate complex indoor environments. Her most cited work, “Depth map generation for a reconnaissance robot via sensor fusion” (2015), presents a novel approach to accurate indoor positioning for an omnidirectional robot, integrating odometry and inertial data to overcome challenges like wheel slip and jerky motion. This system, combined with stereo vision-based depth estimation, allows the robot to generate reliable depth maps for reconnaissance tasks. Although her citation count is modest, the work demonstrates a practical, robust solution to a persistent problem in mobile robotics—achieving precise localization without external infrastructure. Liyanage’s contributions highlight the power of fusing low-cost sensors to enhance robot autonomy, a principle with applications in search-and-rescue and industrial inspection. Her research continues to inspire students and engineers working on sensor integration for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Depth map generation for a reconnaissance robot via sensor fusion2 citations · 2015