Bijaya Ketan Panigrahi
Indian Institute of Technology Delhi, Universidad Central "Marta Abreu" de las Villas (UCLV)
Papers
7
Total Citations
590
H-Index
6
About
Bijaya Ketan Panigrahi is a prominent researcher specializing in computational intelligence, swarm optimization, and autonomous robotics, with a particular focus on multi-robot path planning in complex environments. His work has made significant contributions to the development of hybrid metaheuristic algorithms that combine the strengths of multiple optimization techniques to solve challenging real-world navigation problems. Panigrahi's most influential contributions lie in hybridizing classical optimization frameworks to enhance robotic autonomy. His 2016 paper merging an improved Particle Swarm Optimization (PSO) with Gravitational Search Algorithm (GSA) for multi-robot path planning has garnered an impressive 283 citations, establishing it as a landmark study in the field. Complementing this, his hybrid PSO-DV algorithm (136 citations) and Improved GSA for dynamic environments (57 citations) further demonstrate his systematic approach to tackling cluttered and unpredictable terrains. Earlier work integrating Q-learning with perturbed velocity PSO (75 citations) reflects his interest in combining reinforcement learning with evolutionary computation to accelerate convergence. Beyond research publications, Panigrahi has actively shaped the academic community through his editorial leadership of the *Intelligent Computing and Applications* conference series, fostering international collaboration and knowledge exchange in intelligent systems research.
Research Focus
Key Achievements
Top Papers
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- 5Intelligent Computing and Applications30 citations · 2020
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