Sellappan Velmurugan
Papers
1
Total Citations
5
H-Index
1
About
Sellappan Velmurugan is a robotics and control systems researcher whose work focuses on advancing the autonomous navigation of wheeled mobile robots. His primary research areas include model predictive control, nonlinear control strategies, and reducing computational delays in real-time robotic systems. Velmurugan’s most notable contribution lies in developing a learning-based model predictive controller that minimizes time delays, enabling more responsive and accurate robot motion. By comparing simulation and experimental results, he demonstrated the superiority of his approach over traditional linear quadratic regulator controllers. Although his highest-cited paper (5 citations) has been retracted, the work reflects his commitment to addressing practical challenges in mobile robotics, such as weak spots in control design and real-world implementation. Velmurugan’s research is valuable for students and engineers seeking to understand how advanced control algorithms can improve robot performance in dynamic environments. His efforts highlight the importance of bridging theoretical control methods with experimental validation, offering insights into the future of intelligent, autonomous systems.
Research Focus
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Top Papers
- 1