Sisil Kumarawadu
University of Moratuwa, Saga University, National Yang Ming Chiao Tung University
Papers
9
Total Citations
113
H-Index
5
About
Sisil Kumarawadu is a researcher whose work spans robotics, autonomous navigation, and intelligent control systems, with particular expertise in neural network-based adaptive control and simultaneous localization and mapping (SLAM). His most influential contribution, "Outdoor Robot Navigation Using Gmapping Based SLAM Algorithm" (2016), has garnered 71 citations and demonstrates his commitment to practical robotics solutions, presenting a complete framework for autonomous tracked robots navigating unknown outdoor environments using the Robot Operating System (ROS). This work, complemented by related research on multisensory long-distance autonomous navigation, reflects his sustained interest in field robotics challenges. Earlier in his career, Kumarawadu made significant strides in neurocontrol and adaptive systems, developing neural network and genetic algorithm approaches to optimize tracking performance in robotic systems with unknown nonlinearities. His 2006 work on neural network-based optimal adaptive tracking and his studies on SoftMax function networks for robotic output tracking highlight his contributions to intelligent control theory. Notably, he also extended these methods to intelligent transportation, proposing a model-based neurocontrol approach for collision prevention in vehicle highway systems. Across his career, Kumarawadu has consistently bridged theoretical machine intelligence with real-world engineering applications, earning recognition across both the robotics and adaptive control communities.
Research Focus
Key Achievements
Top Papers
- 1Outdoor robot navigation using Gmapping based SLAM algorithm71 citations · 2016
- 2NEURAL NETWORK‐BASED OPTIMAL ADAPTIVE TRACKING USING GENETIC ALGORITHMS12 citations · 2006
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