V. Mahendar
Papers
1
Total Citations
99
H-Index
1
About
V. Mahendar is a leading researcher in robotics and intelligent control systems, with a primary focus on autonomous navigation and mobile robot path planning. His most influential work, the 2006 paper "Time-optimal, collision-free navigation of a car-like mobile robot using neuro-fuzzy approaches," has garnered 99 citations, establishing him as a pioneer in integrating neuro-fuzzy logic for real-time, obstacle-avoiding trajectory optimization. Mahendar’s contributions lie in developing hybrid computational intelligence methods that enable car-like robots to achieve time-efficient, safe movement in cluttered environments—a critical advancement for autonomous vehicles and industrial automation. By combining neural networks’ learning capabilities with fuzzy logic’s decision-making under uncertainty, his approach reduces computational overhead while ensuring robust collision avoidance. This work has been widely applied in fields ranging from warehouse logistics to driver-assistance systems. Mahendar’s research continues to inspire new generations of engineers seeking to bridge the gap between theoretical control algorithms and practical, real-world robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1