Isuru Jayarathne

Papers

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About

Isuru Jayarathne is a rising researcher at the intersection of autonomous robotics and social artificial intelligence, whose work addresses critical challenges in both logistics and human-robot interaction. His most impactful contribution, "Local and Global Path Planning for Autonomous Mobile Robots Using Hierarchized Maps" (2022, 9 citations), tackles the pressing labor crisis in logistics by proposing an innovative hierarchized map concept that enables more efficient autonomous navigation. This foundational work demonstrates his ability to solve real-world industrial problems through intelligent robotic systems. More recently, Jayarathne has ventured into the complex domain of social robotics, authoring two 2024 papers that explore how robots can understand and facilitate human interactions. In "Human States and Nonverbal Cues in Multi-party Facilitation," he addresses the critical challenge of detecting human emotional and cognitive states without invasive sensors like EEG, while "Modeling social interaction dynamics using temporal graph networks" introduces novel approaches to representing the mutual influence of behaviors in group settings. Though early in his career, Jayarathne’s trajectory—from practical path planning to sophisticated social dynamics modeling—positions him as a versatile researcher bridging the gap between autonomous systems and socially aware robotics.