Subir Kumar Debnath
Papers
5
Total Citations
32
H-Index
4
About
Subir Kumar Debnath is a robotics researcher whose work centers on autonomous mobile robot navigation, path planning, and obstacle avoidance. His primary contributions lie in developing novel bio-inspired and bug-based algorithms that enable robots to navigate complex, dynamic environments using only locally sensed information—a critical capability for real-world deployment. Debnath’s most impactful work includes the “Modified Critical Point” and “OperativeCriticalPointBug” algorithms, which have garnered 11 and 10 citations respectively. These algorithms address the fundamental challenge of real-time path rescheduling in unfamiliar settings with both static and moving obstacles. He has also pioneered bio-mimetic approaches, such as the “Critical-SnakeBug” algorithm for snake-like and centipede-inspired wheeled robots, demonstrating how biological locomotion principles can enhance robotic navigation in cluttered spaces. His research has accumulated over 30 citations, reflecting growing interest in practical, sensor-driven path planning. By bridging theoretical algorithm design with tangible robotic applications, Debnath’s work offers valuable solutions for autonomous systems operating in unpredictable environments—a key step toward more capable and resilient mobile robots.
Research Focus
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Top Papers
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