Kh. Manglem Singh
Papers
1
Total Citations
9
H-Index
1
About
Kh. Manglem Singh has made significant contributions to the field of robotics and computational intelligence, with a primary focus on motion planning for mobile robots in complex, dynamic environments. His most cited work, "Motion planning of mobile robot using Fuzzy-GA method along with Three Path concept in dynamic environment" (2018, 9 citations), introduces an innovative hybrid algorithm that combines fuzzy logic and genetic algorithms to navigate robots through environments containing both static and dynamic obstacles. This two-phase approach generates multiple path alternatives, enhancing robustness and adaptability in real-time navigation. Singh’s research addresses critical challenges in autonomous systems, particularly the need for efficient, collision-free path generation in unpredictable settings. His work bridges theoretical optimization techniques with practical robotic applications, offering solutions that improve safety and efficiency in automated navigation. With a growing citation impact, Singh’s contributions are valuable for students and researchers exploring intelligent control systems, evolutionary algorithms, and mobile robotics. His methodology, which integrates fuzzy decision-making with genetic optimization, provides a foundation for further advancements in autonomous vehicle navigation and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1