Rawin Assabumrungrat

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About

Rawin Assabumrungrat is a researcher at the forefront of ubiquitous computing and intelligent robotics, with a primary focus on affective computing and low-cost localization systems. His most cited work, "Ubiquitous Affective Computing: A Review" (2021, 28 citations), provides a comprehensive synthesis of 27 high-impact studies from IEEE and other Q1 journals, critically analyzing the use of electrocardiogram (ECG) and electrodermal activity (EDA) for emotion recognition—a foundational contribution to human-computer interaction. In parallel, Assabumrungrat has pioneered accessible robotics with his "MoCArU" system (2023), a low-cost, IoT-enabled wireless portable robot localization platform that emphasizes flexibility and minimal computational overhead. His latest work (2025) advances this theme by integrating multiple fiducial markers and cameras into a cost-effective, multi-sensor framework for precise robot pose tracking, directly addressing the resource barriers that limit automation in real-world environments. With a growing citation footprint and a clear trajectory toward democratizing sensing and localization technologies, Assabumrungrat’s research bridges the gap between theoretical advances in affective computing and practical, deployable robotic systems.