S. Gopinath
Papers
1
Total Citations
24
H-Index
1
About
S. Gopinath is a researcher whose work centers on the control of robotic manipulators, with a particular focus on iterative learning control (ILC) and actuator dynamics. His most-cited paper, "Iterative learning control scheme for manipulators including actuator dynamics" (2004, 24 citations), addresses a critical challenge in robotics: improving the precision and repeatability of manipulator movements by incorporating the often-overlooked dynamics of actuators into the control loop. This contribution is significant because it bridges the gap between theoretical control algorithms and practical robotic applications, where actuator behavior can significantly impact performance. By proposing a scheme that accounts for these dynamics, Gopinath's work has provided a foundation for more accurate and efficient robotic systems, particularly in tasks requiring repetitive motion, such as assembly or machining. While his citation count reflects a focused but impactful contribution, his research underscores the importance of integrating hardware constraints into control design—a lesson valuable for students and researchers in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1