Vijay Muthukumaran
Papers
1
Total Citations
2
H-Index
1
About
Vijay Muthukumaran’s research centers on autonomous navigation, control systems, and robotic obstacle avoidance. His most cited work, “A Hybrid Control Strategy for Autonomous Navigation while Avoiding Multiple Obstacles at Unknown Locations” (2019), addresses a fundamental challenge in robotics: steering a vehicle to a target while safely navigating unknown obstacles. Muthukumaran proposes an innovative modification of the potential field method, integrating a Lyapunov-based hybrid state-feedback controller that uses logical switching to overcome local minima and ensure robust, real-time performance. This work has garnered 2 citations, reflecting its niche but valuable contribution to control theory and autonomous systems. Muthukumaran’s approach is notable for merging classical Lyapunov stability with hybrid logic, offering a practical solution for robots operating in cluttered, uncertain environments. His contributions are particularly relevant for researchers in mobile robotics, intelligent control, and safety-critical autonomous systems, where reliable obstacle avoidance remains a key hurdle.
Research Focus
Key Achievements
Top Papers
- 1