Pyari Mohan Pradhan
Papers
2
Total Citations
80
H-Index
2
About
Pyari Mohan Pradhan is a leading researcher in robotics and intelligent control systems, with a primary focus on fuzzy logic control and swarm robotics. His most influential work, "Design of interval type-2 fuzzy precompensated PID controller applied to two-DOF robotic manipulator with variable payload" (2018), has garnered 76 citations and represents a significant advancement in adaptive control for robotic manipulators. This research addresses the critical challenge of maintaining precision and stability in robotic arms handling variable loads, introducing an innovative interval type-2 fuzzy logic approach that outperforms conventional PID controllers. In the domain of swarm robotics, Pradhan's work "An adaptive approach to swarm surveillance using particle swarm optimization" (2016) explores how simple, insect-inspired behaviors—drawing from ants, bees, and cockroaches—can achieve complex coordinated surveillance tasks. His research demonstrates how relatively simple multi-robot systems can exhibit sophisticated emergent behaviors through adaptive optimization techniques. Pradhan's contributions bridge theoretical control systems with practical robotics applications, offering robust solutions for industrial automation and multi-robot coordination. His work continues to influence researchers developing intelligent, adaptive systems for real-world robotic applications.
Research Focus
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Top Papers
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