Kunal Tiwari

Papers

Total Citations

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About

Kunal Tiwari is a researcher specializing in intelligent control systems and autonomous robotics, with a particular focus on underwater vehicle navigation and fuzzy logic applications. His most cited work, "Single input fuzzy logic controller tuning for steering control of autonomous underwater vehicle: Genetic algorithm approach" (2016, 13 citations), presents an innovative method for optimizing steering control in autonomous underwater vehicles (AUVs). In this study, Tiwari employs a simple genetic algorithm (sGA) to automatically tune the gains of a single input fuzzy logic controller (SIFLC), significantly reducing computational complexity while maintaining robust performance. This contribution addresses a critical challenge in underwater robotics: achieving precise, adaptive control in unpredictable aquatic environments. By demonstrating how evolutionary algorithms can enhance fuzzy logic systems, Tiwari's work bridges the gap between theoretical control methods and practical deployment in autonomous systems. His research holds particular relevance for marine exploration, underwater surveillance, and environmental monitoring applications where AUVs must operate reliably without human intervention. Tiwari's approach offers a computationally efficient solution that has influenced subsequent work in intelligent control design for autonomous platforms.