Rajagopal Kumar

National Institute of Technology Nagaland

Papers

Total Citations

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About

Rajagopal Kumar is a researcher specializing in autonomous vehicle path planning and mobile robot navigation, with a particular focus on meta-heuristic optimization techniques. His major contributions lie in advancing obstacle avoidance and path navigation algorithms, most notably through his development of an improved particle swarm optimization (IPSO) technique. This work, published in 2021 and garnering 8 citations, enhances existing particle swarm optimization methods for unmanned vehicle path planning, demonstrating significant improvements in navigation efficiency and obstacle avoidance. Kumar further extended his research with a predictive mechanism for a modified bug controller in mobile robot path navigation (2022, 4 citations), showcasing his commitment to refining real-time navigation systems. His work addresses critical challenges in autonomous systems, offering practical solutions that balance computational efficiency with robust performance. By integrating predictive and optimization-based approaches, Kumar contributes to the broader field of robotics and autonomous vehicles, making his research valuable for students and engineers seeking to develop safer, more reliable navigation systems. His publications reflect a focused trajectory in advancing intelligent control mechanisms for dynamic environments.