Krishna Kant Pandey
National Institute of Technology Rourkela, Institute of Engineering, Manipal University Jaipur
Papers
22
Total Citations
487
H-Index
12
About
Krishna Kant Pandey is a prominent robotics and artificial intelligence researcher whose work has significantly advanced the field of autonomous mobile robot navigation and path planning. His research centers on developing intelligent control systems that enable robots to navigate complex, obstacle-laden environments with precision and efficiency. Pandey's most influential contributions lie in applying soft computing techniques to robotic navigation. His pioneering 2014 work on fuzzy logic controllers for mobile robot obstacle avoidance has garnered 97 citations, establishing foundational methods still referenced today. Building on this, his 2016 paper introducing Adaptive Neuro-Fuzzy Inference System (ANFIS) controllers for unknown static environments accumulated 75 citations, demonstrating the power of combining neural networks with fuzzy reasoning. A hallmark of Pandey's research philosophy is algorithmic hybridization — creatively merging techniques such as sine-cosine algorithms with ant colony optimization, intelligent water drop algorithms with genetic algorithms, and regression analysis with particle swarm optimization. This approach has produced robust solutions for both wheeled mobile robots and humanoid platforms like NAO, addressing static and dynamic terrain challenges alike. With over 400 total citations across his top works, Pandey has made a meaningful and lasting impact on autonomous robotics, offering researchers and engineers a rich toolkit of bio-inspired and hybrid computational strategies for real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
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- 7A hybridized RA-APSO approach for humanoid navigation18 citations · 2017
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