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About

Samantha Rajapaksha is a pioneering researcher at the intersection of human-robot interaction, semantic web technologies, and autonomous robotic systems. Her work centers on solving one of robotics' most persistent challenges: enabling seamless, natural communication between humans and heterogeneous multi-robot environments. Rajapaksha has made particularly significant contributions through her development of ontology-based frameworks that allow robots to interpret high-level user instructions containing uncertain or unknown terms — a breakthrough that bridges the gap between human language ambiguity and machine comprehension. Her most cited works, including her ontology-driven robot communication system (23 citations) and her methodology for handling uncertain natural language instructions (22 citations), demonstrate her innovative application of Semantic Web technologies to real-world robotic deployments. Extending this work across platforms, she has applied similar principles to drone autopilot systems and developed accessible web-based interfaces that lower the barrier to entry for ROS-based robot control. Her research into autonomous navigation in unknown environments further broadens her impact across the field. With a cumulative citation count approaching 160 across her published works, Rajapaksha has established herself as a compelling voice in intelligent robotics, consistently translating complex computational challenges into practical, human-centered solutions that advance the future of smart homes and collaborative robotic systems.