Thumeera R. Wanasinghe
Papers
9
Total Citations
204
H-Index
7
About
Thumeera R. Wanasinghe is a pioneering researcher at the intersection of robotics, autonomous systems, and the future of work in heavy industries. His work spans two seemingly distinct but deeply connected domains: decentralized multi-robot localization and human-centric digital transformation. In robotics, Wanasinghe made foundational contributions to cooperative localization for heterogeneous multi-robot systems, developing novel algorithms like the split covariance intersection filter (Split-CIF) and leader-assistive methods that enable teams of aerial and ground robots to collaboratively estimate their positions without a central hub. These works, including his most cited paper on decentralized localization (43 citations), have been instrumental in advancing robust, scalable autonomy for robot teams. More recently, Wanasinghe has turned his expertise to the human side of automation, exploring how digital technologies like smart sensors and wearables can transform the oil and gas industry. His highly cited 2021 paper (60 citations) on Operator 4.0 examines how to integrate human workers with emerging digital systems to improve safety and efficiency. In a notable 2023 study, he proposed a novel algorithm for identifying reskilling pathways and job merging timelines for offshore drilling occupations, directly addressing the workforce challenges of Industry 4.0.
Research Focus
Key Achievements
Top Papers
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- 6Relative Localization Approach for Combined Aerial and Ground Robotic System12 citations · 2014
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- 9A Jacobian free approach for multi-robot relative localization5 citations · 2014