Pratap Kumar Panigrahi
National Institute of Technology Rourkela, Sri Padmavati Mahila Visvavidyalayam
Papers
6
Total Citations
89
H-Index
5
About
Pratap Kumar Panigrahi is a leading researcher in autonomous mobile robotics, specializing in intelligent path planning and navigation for robots operating in unknown and cluttered environments. His work centers on developing nature-inspired and neural network-based controllers that enable robots to move autonomously, avoid obstacles, and reach targets without human intervention. Panigrahi’s major contributions include pioneering the use of meta-heuristic algorithms like Flower Pollination Algorithm (FPA) and Bat Algorithm (BA) for optimal path planning, as demonstrated in his most-cited paper (39 citations). He has also advanced wavelet neural networks and radial basis function (RBF) networks to improve robot navigation, comparing the efficacy of algorithms such as Gravitational Search Algorithm (GSA), Simulated Annealing (SA), and Particle Swarm Optimization (PSO). His research, with papers garnering over 80 cumulative citations, has practical implications for industries like manufacturing, healthcare, and exploration. Notably, he has integrated fuzzy logic controllers with Arduino microcontrollers for real-time robot control, bridging theory and application. Panigrahi’s work is essential reading for students and researchers interested in intelligent robotics, offering innovative solutions for autonomous systems in dynamic environments.
Research Focus
Key Achievements
Top Papers
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