N. Shivakumar

Papers

Total Citations

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About

N. Shivakumar’s research centers on intelligent robotics and control systems, with a particular emphasis on autonomous navigation in uncertain environments. His most influential work, “Mobile robot navigation using Fuzzy logic controller” (2009, 35 citations), addresses a fundamental challenge in robotics: enabling sensor-based mobile robots to navigate indoor spaces reliably despite incomplete or noisy data. By applying fuzzy logic control, Shivakumar demonstrated how robots can make robust, real-time decisions under uncertainty, generating rule-based inferences that mimic human reasoning. This contribution is significant because it provides a practical framework for handling the unpredictability of real-world environments—a key hurdle in autonomous systems. The paper’s sustained citation count reflects its value as a foundational reference for researchers developing adaptive navigation algorithms. Shivakumar’s work bridges theoretical fuzzy logic with applied robotics, offering students and engineers a clear methodology for building more resilient mobile robots. His research continues to influence the design of intelligent control systems, particularly in scenarios where traditional binary logic falls short.