Sameera Palipana

University of Moratuwa, Aalto University

Papers

Total Citations

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About

Sameera Palipana is a researcher advancing the frontiers of pervasive sensing and human-machine interaction, with a focus on radio-frequency (RF) technologies for smart environments. His work bridges robotics, Industry 4.0, and context-aware computing, addressing critical challenges in localization, activity recognition, and human density estimation. Palipana’s early contributions include pioneering techniques for mobile robot localization using ZigBee-based optimization, enabling semi-autonomous robots to navigate hazardous outdoor environments—a foundational step toward robust, low-cost robotic systems. In the realm of Industry 4.0, he developed methods to capture human-machine interaction events from radio sensors, enhancing safety and efficiency in smart factories. His most recent work introduces beamsteering approaches for training-free counting of multiple humans performing distinct activities, a breakthrough for applications like intrusion detection and HVAC optimization in smart buildings. With cumulative citations reflecting growing influence, Palipana’s research is notable for its practical impact on human-robot interaction and pervasive computing. His achievements underscore a commitment to creating scalable, non-intrusive sensing solutions that empower safer, more intelligent environments—making his work essential reading for students and researchers in wireless sensing, robotics, and cyber-physical systems.