Arjun Warrier

National Institute Of Technology Silchar

Papers

Total Citations

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About

Arjun Warrier is a robotics researcher whose work focuses on the critical challenge of autonomous mobile robot navigation in complex, cluttered environments. His most-cited paper, "Implementation of Classical Path Planning Algorithms for Mobile Robot Navigation: A Comprehensive Comparison" (2022), provides an essential benchmark for the field by systematically evaluating and comparing traditional path planning techniques. This work, which has garnered 5 citations, serves as a foundational resource for researchers and engineers seeking to select or improve algorithms for collision-free trajectory generation. Warrier’s contributions lie in bridging the gap between classical robotics theory and practical implementation, offering clear guidance on algorithm performance across diverse operational scenarios. His research is particularly valuable for advancing autonomous systems in industries like logistics, manufacturing, and service robotics, where reliable navigation is paramount. By demystifying the trade-offs between efficiency, safety, and computational cost in path planning, Warrier has helped shape a more informed approach to mobile robot design, making his work a key reference for students and practitioners alike.