Sukesh Bondada

Indian Institute of Technology Bhubaneswar

Papers

Total Citations

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About

Sukesh Bondada is a researcher specializing in robotics, path planning, and optimization algorithms, with a particular focus on enhancing autonomous navigation systems. His most-cited work, "An Optimized Path Planning for the Mobile Robot Using Potential Field Method and PSO Algorithm" (2018), has garnered 40 citations, reflecting its influence in the field. In this study, Bondada pioneered a hybrid approach that integrates the Potential Field Method with Particle Swarm Optimization (PSO) to overcome traditional limitations in mobile robot navigation, such as local minima and inefficient trajectories. His contribution lies in demonstrating how swarm intelligence can dynamically refine path planning, enabling robots to navigate complex environments more safely and efficiently. This work has practical implications for autonomous vehicles, warehouse robots, and exploration drones. Bondada’s research bridges theoretical optimization with real-world robotics, offering scalable solutions for adaptive motion control. His achievements highlight a commitment to advancing intelligent systems, making his work a valuable resource for students and researchers exploring the intersection of metaheuristic algorithms and robotic autonomy.