N Poornima Varma

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About

N. Poornima Varma is a robotics researcher specializing in intelligent control systems for mobile robots, with a particular focus on differential drive platforms. Her work centers on developing autonomous navigation capabilities, including target tracking, path planning, obstacle avoidance, and wall-following control. In her most-cited paper (2017, 16 citations), she introduced a comprehensive simulation framework for differential drive robots that integrates Go-to-Goal target tracking with path planning and obstacle avoidance, demonstrating how simple kinematic models can achieve sophisticated autonomous behavior. Her second major contribution (2017, 9 citations) advanced this work by implementing interval type-2 fuzzy controllers (IT2FC) for wall-following applications, where separate controllers manage speed and orientation to improve tracking accuracy. This dual-controller approach represents a significant step in handling the uncertainty inherent in real-world robotic navigation. Varma’s research bridges theoretical control design with practical simulation, providing foundational methods for autonomous ground vehicles. Her contributions are particularly valuable for students and researchers entering the field of mobile robotics, offering clear, implementable solutions to core navigation challenges that remain relevant in modern autonomous systems development.