H. K. Paikray
Papers
3
Total Citations
42
H-Index
3
About
H. K. Paikray is a leading researcher in multi-robot systems and computational intelligence, with a primary focus on optimal path planning in dynamic and cluttered environments. Their work centers on developing and hybridizing meta-heuristic algorithms to solve complex coordination and navigation challenges for multiple mobile robots. Paikray’s most impactful contribution is the introduction of a novel Particle Swarm Optimization algorithm enhanced by Sine and Cosine Algorithms, which achieved 30 citations for its superior performance in multi-robot path planning. They further advanced the field by proposing an Improved Shuffled Frog Leaping Algorithm (ISFLA), which incorporates weight and acceleration factors into the local search process to overcome premature convergence and local optima—a critical issue in swarm-based optimization. This work, alongside their hybridization of meta-heuristic approaches for dynamic environments, has laid a strong foundation for more robust and efficient autonomous navigation systems. With a growing citation record, Paikray’s research is essential reading for students and engineers working on intelligent robotics, offering practical solutions for real-world multi-agent coordination.
Research Focus
Key Achievements
Top Papers
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