Probir Kumar Ray
Papers
4
Total Citations
83
H-Index
3
About
Probir Kumar Ray is a pioneer in intelligent sensor fusion and ultrasonic positioning systems. His research centers on multisensor integration, fuzzy logic inference, and optimization algorithms for 3D spatial estimation. Ray’s seminal 2001 work on a fuzzy inference-based multisensor fusion model (36 citations) introduced a novel method for integrating data from diverse sensors by incorporating operational context—such as environmental conditions—into the fusion process, moving beyond traditional statistical approaches. He further advanced ultrasonic 3D positioning with a genetic algorithm-based approach (2002, 35 citations) that optimally configures sensor arrays to maximize accuracy. His earlier foundational work (2000, 9 citations) established a unique system using time-difference-of-arrival (TDOA) rather than time-of-flight, reducing hardware complexity. Ray’s contributions are particularly notable for addressing practical error sources like sensor misalignment, as detailed in his 2002 accuracy study. With over 80 total citations, his research has influenced robotics, autonomous navigation, and industrial automation, offering elegant, computationally efficient solutions for real-world spatial sensing challenges.
Research Focus
Key Achievements
Top Papers
- 1Multisensor integration and fusion model that uses a fuzzy inference system36 citations · 2001
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