Papers
40
Total Citations
399
H-Index
11
About
Asok Ray is a distinguished researcher whose work spans robotics, autonomous systems, signal processing, and intelligent control. Over three decades, he has made foundational contributions to robot navigation, pattern recognition, and machine learning-driven autonomy, establishing himself as a pioneer in applying probabilistic and symbolic computational methods to real-world engineering challenges. Ray's early work on intelligent seam tracking for robotic welding — including the development of the adaptive real-time ARTIST system — demonstrated his commitment to practical autonomous systems operating in unstructured environments. His influential research on symbolic dynamic filtering and probabilistic finite state automata (PFSA) introduced powerful frameworks for behavior identification, feature extraction, and path planning in mobile robots, with the wavelet-based PFSA classification paper alone accumulating 55 citations. His ν☆ path planning algorithm elegantly reframes navigation as a language optimization problem, reflecting his interdisciplinary creativity. More recently, Ray has embraced deep learning, developing spatio-temporal ConvNet-LSTM architectures for end-to-end imitation learning in autonomous ground robots. His work on sensor fusion for target detection further demonstrates breadth across perception and decision-making. With a body of work cited hundreds of times collectively, Ray's research continues to shape the foundations of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Intelligent Seam Tracking for Robotic Welding33 citations · 1993
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- 6Feature level sensor fusion for target detection in dynamic environments16 citations · 2015
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