Pranav Nedunghat

National Institute Of Technology Silchar

Papers

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About

Pranav Nedunghat is a researcher whose work centers on advancing autonomous mobile robot navigation, with a particular focus on developing and comparing path planning algorithms for operation in complex, cluttered environments. His most-cited paper, "Implementation of Classical Path Planning Algorithms for Mobile Robot Navigation: A Comprehensive Comparison" (2022, 5 citations), provides a systematic evaluation of traditional path planning methods, offering critical insights into their performance, efficiency, and suitability for real-world robotic applications. This work is foundational for researchers and engineers seeking to select or hybridize algorithms for collision-free traversal in challenging settings. Nedunghat’s contributions help bridge the gap between classical robotics theory and practical implementation, supporting the development of more intelligent and autonomous systems. Though early in his career, his focused analysis of path planning trade-offs—such as computational cost versus path optimality—has already informed subsequent studies in mobile robotics. His research is particularly valuable for students and practitioners working on autonomous ground vehicles, warehouse robots, and field robotics, where reliable navigation remains a core challenge.