C. Seksan

Papers

Total Citations

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About

C. Seksan is a researcher focused on indoor localization and wireless signal processing, with a particular emphasis on improving WiFi-based positioning systems for robotics. Their most-cited work, "Comparing WiFi RSS Filtering for Wireless Robot Location System" (2019), tackles the critical challenge of signal strength fluctuations that degrade the accuracy of in-building location determination. By systematically evaluating filtering techniques to stabilize Received Signal Strength (RSS) data, Seksan contributes to making WiFi infrastructure a more reliable tool for autonomous robot navigation—a field of growing interest for both academia and industry. With 7 citations, this paper has informed subsequent efforts to enhance precision in indoor environments. Seksan’s research addresses a practical bottleneck in wireless localization, bridging the gap between theoretical signal processing and real-world robotic applications. Their work underscores the importance of robust filtering methods in enabling cost-effective, infrastructure-based location systems, offering valuable insights for researchers and engineers developing smart building technologies and autonomous systems.