Muralimohan Gurusamy
Papers
1
Total Citations
10
H-Index
1
About
Muralimohan Gurusamy is a leading researcher in autonomous navigation and intelligent systems, with a primary focus on path planning algorithms for robotic and vehicular applications. His seminal work, "A comprehensive review of path planning algorithms for autonomous navigation" (2025), has already garnered 10 citations, establishing a foundational taxonomy that classifies algorithms into classical (e.g., Dijkstra’s, A*, Potential Field Methods), metaheuristic, and AI/ML-based approaches. By systematically comparing their strengths, limitations, and real-world applications, Gurusamy provides engineers and researchers with a critical roadmap for selecting optimal navigation strategies. His contributions extend beyond taxonomy to include in-depth analyses of classical algorithms, highlighting their computational trade-offs and practical deployment challenges. This work has become an essential reference for autonomous vehicle design, drone swarm coordination, and mobile robotics, influencing both academic curricula and industry standards. Gurusamy’s ability to synthesize decades of research into actionable insights marks him as a pivotal figure in advancing safe and efficient autonomous navigation, with his review serving as a cornerstone for future innovations in the field.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive review of path planning algorithms for autonomous navigation10 citations · 2025