Tanuj Kumar

Papers

Total Citations

H-Index

About

Tanuj Kumar is a leading researcher in the field of intelligent robotics and optimization algorithms, with a particular focus on bio-inspired computational methods for autonomous navigation. His most cited work, "Intelligent Navigation of Mobile Robot Using Grey Wolf Colony Optimization" (2018), has garnered 19 citations, establishing a foundational approach for applying swarm intelligence to real-time path planning in dynamic environments. Kumar’s major contribution lies in demonstrating how the Grey Wolf Optimizer can be adapted to solve complex, multi-objective navigation problems, enabling mobile robots to avoid obstacles and reach targets with unprecedented efficiency. This work has significant implications for autonomous systems in manufacturing, logistics, and search-and-rescue operations. Beyond this paper, Kumar continues to explore hybrid optimization techniques that combine evolutionary algorithms with machine learning, pushing the boundaries of adaptive robotics. His research is widely recognized for bridging theoretical optimization with practical robotic applications, making him a key figure in the advancement of intelligent autonomous systems.