Prabhu Jayagopal

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Prabhu Jayagopal is a robotics researcher whose work focuses on intelligent motion planning and autonomous navigation, with a particular emphasis on collision avoidance for mobile robots. His most cited paper, "Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach" (2023, 9 citations), introduces an adaptive Particle Swarm Optimization algorithm that uses a penalty-based methodology to generate collision-free paths. This contribution addresses a fundamental challenge in robotics: enabling robots to navigate dynamic environments safely and efficiently. By integrating optimization techniques with real-time control, Jayagopal’s approach offers a practical solution for improving autonomous system reliability. His work sits at the intersection of computational intelligence and robotics, demonstrating how nature-inspired algorithms can enhance trajectory planning. While early in his career, his research has already attracted attention from peers working on mobile robot control and swarm intelligence. Jayagopal’s contributions are particularly relevant for students and researchers interested in the practical application of metaheuristic algorithms to real-world robotic systems, offering a clear example of how penalty functions can guide optimization toward safe, feasible paths in constrained environments.