Yogesvaran Arumgam
Papers
1
Total Citations
3
H-Index
1
About
Yogesvaran Arumgam is a researcher specializing in control systems, robotics, and bio-inspired optimization algorithms. His work focuses on enhancing the performance and autonomy of mobile robots through intelligent controller design. His most cited paper, "PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM)" (2019, 3 citations), introduces a novel hybrid optimization technique that improves the tuning of PID controllers for mobile robot navigation. By integrating mutation operators into the Bat Algorithm, Arumgam’s approach enhances convergence speed and solution accuracy, enabling more precise and stable robot movement in complex environments. This contribution is particularly relevant for applications in industrial automation, domestic robotics, and autonomous systems where reliable motion control is critical. Arumgam’s research bridges the gap between nature-inspired computation and practical robotic control, offering scalable solutions for multi-degree-of-freedom platforms. His work demonstrates a strong commitment to advancing intelligent systems that reduce human risk and improve operational efficiency. With a growing citation impact, Arumgam is establishing himself as a promising voice in the fields of computational intelligence and mobile robotics, contributing to safer and more capable autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1