Yohanathan P. S. Kumaran
Papers
1
Total Citations
11
H-Index
1
About
Yohanathan P. S. Kumaran is a researcher specializing in industrial robotics, prognostics, and health management, with a focus on enhancing the reliability and longevity of high-speed automation systems. His key contributions lie in developing advanced diagnostic and prognostic techniques for detecting and estimating performance degradation in industrial robots, particularly addressing the critical issue of backlash—the clearance between mating gears that leads to positioning inaccuracies over time. In his most cited work, "Remaining Useful Life Estimation for High Speed Industrial Robots Using an Unknown Input Observer for Feature Extraction" (2022, 11 citations), Kumaran introduced a novel approach that moves beyond traditional low-speed, laboratory-based backlash detection methods. By leveraging unknown input observers for robust feature extraction, his method enables real-time monitoring and remaining useful life estimation under actual high-speed operating conditions, directly addressing a gap in practical industrial applications. This work has significant implications for predictive maintenance, reducing downtime and operational costs in manufacturing. Kumaran’s research is notable for bridging theoretical control and estimation techniques with real-world industrial challenges, marking him as an emerging contributor to the field of intelligent robotics and condition-based maintenance.
Research Focus
Key Achievements
Top Papers
- 1