Sathursan Kanagarajah
Papers
2
Total Citations
14
H-Index
2
About
Sathursan Kanagarajah is a researcher at the forefront of lifelong robotic vision, a field dedicated to enabling machines to learn continuously from their environment—much like humans do. His most impactful work centers on the grand challenge of building artificial agents that can autonomously accumulate knowledge over time without forgetting previous learning. Kanagarajah was instrumental in the IROS 2019 Lifelong Robotic Vision Competition, where he contributed to both the challenge design and the official report that analyzed methods from over 150 competing teams. His paper on the competition has garnered 12 citations, reflecting its role as a benchmark in the community. Notably, he helped introduce the OpenLORIS-object dataset, a key resource for evaluating lifelong object recognition in real-world robotic scenarios. Through his efforts, Kanagarajah has helped shape the evaluation standards for continual learning in robotics, pushing the field closer to truly adaptive, lifelong robotic perception.
Research Focus
Key Achievements
Top Papers
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- 2