Senthilkumar C. G. Periaswamy
Papers
2
Total Citations
112
H-Index
2
About
Senthilkumar C. G. Periaswamy is a leading researcher at the intersection of radio-frequency identification (RFID) systems, probabilistic localization, and reinforcement learning for robotics. His work addresses fundamental challenges in enabling autonomous systems to operate reliably in complex, real-world environments. Periaswamy’s most influential contribution is the development of BFVP (Bayesian Filter of Variable Power), a groundbreaking algorithm for localizing passive UHF RFID tags. This work, which has garnered over 109 citations, introduced a probabilistic Bayesian filter combined with a variable power RFID model, dramatically improving tag localization accuracy in challenging settings like warehouses and distribution centers. More recently, Periaswamy has pushed the boundaries of robotic intelligence with his work on Multi-State-Space Reasoning Reinforcement Learning. This innovative framework tackles the critical limitation of standard RL—its lack of reasoning ability—by enabling agents to handle long-horizon, complex tasks such as RFID-based searching and planning. By integrating state-space reasoning into the learning process, his approach paves the way for more capable and adaptive autonomous systems. Periaswamy’s research is essential reading for anyone working on RFID-based sensing, smart logistics, or next-generation robotic navigation.
Research Focus
Key Achievements
Top Papers
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