Pragyan Kumar Pradhan
Papers
1
Total Citations
10
H-Index
1
About
Pragyan Kumar Pradhan is a researcher specializing in autonomous robotics, computational intelligence, and optimization algorithms. His work focuses on enhancing the navigational capabilities and control systems of autonomous robots through hybrid metaheuristic techniques. In his most-cited paper, "Improving navigational parameters and control of autonomous robot using hybrid SOMA–PSO technique" (2023), Pradhan introduced a novel integration of Self-Organizing Migrating Algorithm (SOMA) with Particle Swarm Optimization (PSO) to optimize robot path planning and obstacle avoidance. This contribution has garnered 10 citations, demonstrating its relevance in advancing efficient, real-time robotic navigation. Pradhan’s research addresses critical challenges in autonomous systems, such as dynamic environment adaptation and energy-efficient control. His work is notable for bridging theoretical optimization methods with practical robotic applications, offering scalable solutions for industries like logistics, exploration, and manufacturing. By combining swarm intelligence with evolutionary computation, Pradhan continues to push the boundaries of autonomous robot performance, making his research a valuable resource for students and engineers seeking robust, adaptive control strategies.
Research Focus
Key Achievements
Top Papers
- 1