Naiwala P. Chandrasiri

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About

Naiwala P. Chandrasiri is a leading researcher in human-robot interaction and intelligent systems, with a focus on enabling safe, intuitive coexistence between humans and autonomous agents. His key contributions lie in pedestrian behavior modeling and intention-aware robotics, where he develops computational frameworks that allow robots to predict and respond to human motion in shared environments. His most cited work, “Development of pedestrian behavior model taking account of intention” (2012, 41 citations), introduces a novel model that simulates humanlike pedestrian movement by explicitly incorporating intentional states—a critical step toward safer autonomous navigation in crowded spaces. This research bridges cognitive modeling and robotics, offering practical solutions for mobile robots and autonomous vehicles operating in dynamic, human-populated settings. Beyond this, Chandrasiri’s broader portfolio spans machine learning, computer vision, and assistive technologies, reflecting a commitment to building socially aware machines. His work has influenced subsequent studies in human-aware path planning and crowd simulation, and he continues to advance the field through interdisciplinary approaches that merge behavioral science with engineering. For students and researchers, Chandrasiri’s research exemplifies how understanding human intention can transform robot autonomy from reactive to truly cooperative.