B.K. Panigrahi

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About

B.K. Panigrahi is a leading researcher in computational intelligence, optimization, and robotics, with a particular focus on multi-robot systems and swarm intelligence. His most-cited work, "An intelligent multi-robot path planning in a dynamic environment using improved gravitational search algorithm" (2016), has garnered 16 citations and exemplifies his innovative approach to solving complex, real-world navigation problems. Panigrahi’s major contributions lie in developing nature-inspired algorithms—such as improved gravitational search and particle swarm optimization—to enhance autonomous decision-making in dynamic, uncertain environments. His research bridges theoretical algorithm design with practical applications in robotics, power systems, and renewable energy integration. With a career spanning over two decades, Panigrahi has published extensively in top-tier journals and conferences, earning recognition for his work on multi-objective optimization and machine learning. His impact is reflected not only in citation counts but also in his mentorship of numerous PhD students and his role as an editor for several prestigious journals. Panigrahi’s work continues to inspire advances in intelligent systems, making him a pivotal figure in the field of computational intelligence.