Nishant Jorwal

Papers

Total Citations

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About

Nishant Jorwal is a researcher in robotics and control systems, with a primary focus on intelligent trajectory tracking and autonomous navigation. His most cited work, “Trajectory tracking control of a mobile robot using fuzzy logic controller with optimal parameters” (2024, 19 citations), introduces a novel approach that combines fuzzy logic control with particle swarm optimization to automatically tune membership functions for two-wheeled differential drive robots. This contribution addresses a long-standing challenge in mobile robotics: the difficulty of manually optimizing fuzzy controllers for precise path following. By demonstrating that swarm intelligence can effectively replace manual tuning, Jorwal’s research offers a scalable solution for real-time autonomous navigation in unstructured environments. His work bridges the gap between classical control theory and modern optimization techniques, making it particularly valuable for students and researchers working on low-cost, computationally efficient robotic platforms. With growing interest in autonomous systems, Jorwal’s methodology is increasingly cited in studies on warehouse robots, agricultural vehicles, and service robots. His contributions highlight the practical potential of combining soft computing with evolutionary algorithms for robust, adaptive control in real-world applications.