Yasas Pansilu Jayasuriya

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About

Yasas Pansilu Jayasuriya is a robotics researcher whose work centers on adaptive navigation and motion planning for mobile robots, with a particular focus on overcoming the challenges of indoor localization. His most-cited paper, "Adaptive navigation and motion planning for a mobile track robot" (2017), addresses a critical limitation in robotics: the ineffectiveness of GPS and conventional vision-based odometry within indoor environments. Jayasuriya’s contribution lies in developing adaptive algorithms that enable precise, reliable navigation without relying on external positioning systems, making his work foundational for autonomous robots operating in warehouses, factories, or hospitals. While his citation count is modest, his research tackles a persistent bottleneck in mobile robotics, demonstrating practical engineering insight. This work underscores his commitment to solving real-world deployment issues, positioning him as a promising figure in the field of autonomous systems and intelligent motion control.