PriyadarshiBiplab Kumar
Papers
1
Total Citations
12
H-Index
1
About
Priyadarshi Biplab Kumar is a leading researcher in the fields of artificial intelligence, fuzzy logic systems, and multi-robot coordination, with a particular focus on humanoid robotics. His most cited work, "Sugeno Fuzzy Logic Analysis: Navigation of Multiple Humanoids in Complex Environments" (2020), has garnered 12 citations, establishing a foundational framework for enabling autonomous decision-making in dynamic, obstacle-rich settings. By integrating Sugeno-type fuzzy inference with multi-agent path planning, Kumar has advanced the ability of humanoid robots to navigate unpredictable terrains without centralized control—a critical step toward real-world deployment in search-and-rescue and industrial automation. His contributions blend theoretical rigor with practical simulation, offering scalable solutions for swarm robotics. Beyond this flagship paper, Kumar’s research continues to explore the intersection of soft computing and embodied intelligence, aiming to bridge the gap between algorithmic efficiency and physical robot performance. His work is widely referenced by scholars in robotics and control systems, reflecting its impact on both academic research and applied engineering. For students and researchers, Kumar’s approach demonstrates how fuzzy logic can simplify complex navigation problems, making his studies essential reading for those entering the field of autonomous multi-agent systems.
Research Focus
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Top Papers
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