Papers
9
Total Citations
70
H-Index
5
About
Bunil Kumar Balabantaray is a robotics and computer vision researcher whose work sits at the intersection of autonomous systems, intelligent path planning, and machine perception. His most recognized contribution, "Artificial Immune System Based Path Planning of Mobile Robot" (2012), has garnered 30 citations and established him as an early voice in bio-inspired approaches to robot navigation. This work reflects his broader commitment to applying evolutionary and swarm intelligence techniques — including D* lite algorithms, particle swarm optimization, and shuffled frog leaping algorithms — to solve real-world mobile robot navigation challenges in complex, obstacle-laden environments. Balabantaray has also made meaningful contributions to machine vision for robotic assembly systems, investigating edge detection algorithms and sensor fusion techniques that enable robots to autonomously identify and handle components in unstructured manufacturing environments. His research combining vision and ultrasonic sensing demonstrates a practical, multi-modal approach to part recognition. More recently, he has expanded into human activity recognition using deep learning models, signaling an evolution toward broader AI applications. Across his career, his cumulative citation record reflects steady and growing influence across robotics, computer vision, and intelligent systems — making his work a valuable reference for students exploring autonomous robot design and applied artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Artificial Immune System Based Path Planning of Mobile Robot30 citations · 2012
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- 8Human Activity Recognition Using CTAL Model3 citations · 2023
- 9Part identification in robotic assembly using vision system2 citations · 2013