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About

Jayanta Kumar Pothal is a distinguished researcher specializing in mobile robotics, autonomous navigation, and computational intelligence. His work focuses on developing sophisticated control systems for mobile robots operating in complex, cluttered environments, with a particular emphasis on multi-robot coordination and path optimization. Pothal's most influential contribution, "Navigation of multiple mobile robots in a highly clutter terrains using adaptive neuro-fuzzy inference system" (2015), has garnered 101 citations, establishing him as a leading voice in hybrid intelligent control systems. His pioneering 2009 work on ANFIS-based navigation demonstrated how combining fuzzy logic with neural network architectures could enable robots to navigate dynamic real-world environments more effectively, accumulating 46 citations. Beyond neuro-fuzzy approaches, Pothal has explored biologically inspired algorithms, investigating swarm intelligence for cooperative multi-robot behavior and ant colony optimization for path planning in cluttered environments. These works collectively reflect his commitment to translating nature-inspired computational strategies into practical robotics solutions. His research has meaningfully advanced the field of autonomous mobile robotics, providing engineers and researchers with robust frameworks for tackling real-world navigation challenges. Students interested in intelligent robotics, computational intelligence, or multi-agent systems will find his body of work an essential reference point.