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About

Sanjoy Kumar Debnath is a leading researcher in autonomous robotics, with a primary focus on path planning and navigation for unmanned systems. His work addresses the fundamental challenge of enabling robots and autonomous vehicles to safely and efficiently reach their destinations in complex environments. Debnath has made significant contributions by systematically comparing configuration space representations for combinatorial path planning and by advancing the artificial potential field method through innovations like path pruning, which reduces computational complexity while maintaining completeness. His comprehensive review of cell decomposition methods for unmanned air vehicles has become a key reference in the field, with his most cited paper, "Comparison of different configuration space representations for path planning under combinatorial method," garnering 49 citations. More recently, Debnath has expanded into brain-computer interfaces for mobile robot guidance and applied machine learning to path construction and evolution models. His work on a floor tiling robotic system demonstrates his commitment to translating theoretical advances into practical construction applications. With over 130 total citations across his publications, Debnath continues to shape the future of autonomous navigation, making robots safer and more capable in both industrial and hazardous environments.