Khelchandra Thongam
National Institute of Technology Manipur, University of Aizu
Papers
10
Total Citations
209
H-Index
7
About
Khelchandra Thongam is a robotics researcher whose work centers on autonomous mobile robot navigation, path planning, and motion control in complex environments. Over the past decade, his research has made significant contributions to the development of intelligent navigation systems that leverage computational intelligence techniques, including fuzzy logic, neural networks, genetic algorithms, and nature-inspired optimization methods. Thongam's most impactful contributions lie in designing hybrid navigation frameworks that combine multiple AI methodologies to tackle real-world challenges such as static and dynamic obstacle avoidance. His 2018 papers on fuzzy logic-based navigation and neural network approaches each garnered 64 citations, reflecting their broad influence in the robotics community. His earlier foundational work, including neuro-fuzzy path planning (2012) and neuro-genetic-fuzzy techniques (2014), established the groundwork for these hybrid approaches. More recently, Thongam has explored swarm-inspired algorithms, including the Spider Monkey Optimization Algorithm and Firefly Algorithm-based methods, demonstrating a continued commitment to advancing autonomous navigation in cluttered and unpredictable environments. His body of work, spanning over a decade and accumulating more than 200 citations, positions him as a consistent and productive voice in computational robotics and intelligent systems research.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Navigation Using Fuzzy Logic in Static Environments64 citations · 2018
- 2
- 3Mobile Robot Navigation Using MLP-BP Approaches in Dynamic Environments22 citations · 2018
- 4
- 5
- 6
- 7
- 8Path planning of mobile robot with neuro-fuzzy technique6 citations · 2012
- 9
- 10