Priyadarshi Biplab Kumar
National Institute of Technology Rourkela, National Institute of Technology Hamirpur
Papers
34
Total Citations
667
H-Index
16
About
Priyadarshi Biplab Kumar is a robotics researcher whose work centers on intelligent navigation, path planning, and motion control of humanoid robots — particularly the NAO platform — in complex and obstacle-laden environments. His research sits at the intersection of computational intelligence and autonomous robotics, drawing on a rich toolkit of optimization and learning techniques to solve real-world navigation challenges. Kumar's most significant contributions involve developing hybrid navigational controllers that fuse classical methods with bio-inspired and soft-computing approaches. His work employing fuzzy logic (82 citations), artificial potential field methods (53 citations), and hybridized regression with ant colony optimization (65 citations) has established him as a productive voice in humanoid motion planning research. He has further extended this portfolio through genetic algorithms, neural networks, bacterial foraging optimization, and adaptive particle swarm optimization — demonstrating a commitment to exploring diverse intelligent strategies rather than relying on a single paradigm. Notably, much of his landmark output emerged in a concentrated burst in 2018, signaling a highly productive research phase. With cumulative citations exceeding 400 across his top ten papers, Kumar's contributions have gained meaningful traction within the robotics and automation community. His continued work into 2022, incorporating fuzzy-embedded neural networks, reflects an ongoing evolution toward more sophisticated, hybrid intelligent systems for humanoid autonomy.
Research Focus
Key Achievements
Top Papers
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