T. Thewan

Papers

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About

T. Thewan is a researcher specializing in indoor positioning systems for mobile robotics, with a primary focus on WiFi-based localization technologies. His work addresses the critical challenge of signal instability in wireless positioning, particularly the significant fluctuations in WiFi signal strength that affect location accuracy in indoor environments. Thewan’s major contributions include developing and comparing filtering techniques for WiFi RSS (Received Signal Strength) data to improve the reliability of wireless robot location systems. His 2019 paper, “Comparing WiFi RSS Filtering for Wireless Robot Location System,” and his 2016 work, “Assessment of WiFi RSS using design of experiment for mobile robot wireless positioning system,” each have garnered 7 citations, demonstrating steady interest from the robotics and wireless localization communities. Thewan’s research is particularly notable for its practical approach—leveraging existing building WiFi infrastructure to reduce development costs for mobile robots, especially in multi-robot scenarios. By applying design of experiment methodologies to assess WiFi signal behavior, he has contributed foundational insights that help bridge the gap between theoretical positioning algorithms and real-world deployment challenges in indoor environments.