S. Pramot

Papers

Total Citations

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About

S. Pramot is a researcher focused on indoor localization and wireless sensor networks, with a particular emphasis on improving the accuracy of WiFi-based positioning systems for robotics. Their most-cited work, "Comparing WiFi RSS Filtering for Wireless Robot Location System" (2019, 7 citations), addresses a critical challenge in indoor navigation: the significant fluctuations in WiFi signal strength that degrade location accuracy. By systematically comparing various filtering techniques for Received Signal Strength (RSS) data, Pramot has contributed foundational insights into how to stabilize and enhance the reliability of WiFi-based localization for mobile robots. This work is especially relevant to the growing demand for robust indoor positioning solutions in smart buildings, autonomous robotics, and IoT applications. While their citation count reflects an emerging career, Pramot’s research tackles a practical bottleneck in wireless localization, offering valuable methodologies for filtering noisy signal data. Their contributions are particularly notable for bridging the gap between theoretical signal processing and real-world deployment in dynamic indoor environments, making them a promising voice in the field of wireless robot location systems.