Ruchika Ruchika
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ruchika Ruchika is a leading researcher in the field of intelligent robotics, with a primary focus on the control and dynamics of redundant robot manipulators. Her most-cited work, "Intelligent Tracking Control of Redundant Robot Manipulators including Actuator Dynamics" (2018, 7 citations), addresses a critical challenge in precision robotics: achieving accurate trajectory tracking at the actuator level despite system uncertainties. In this seminal contribution, she pioneered a novel control scheme that integrates Radial Basis Function (RBF) neural networks with an adaptive bound component, seamlessly combining model-based control with intelligent compensation. This approach effectively handles the complex nonlinearities and uncertainties inherent in redundant manipulators, enabling superior tracking performance. Her work has significant implications for advanced manufacturing, surgical robotics, and autonomous systems where precise, reliable motion control is essential. By bridging the gap between theoretical control theory and practical actuator-level implementation, Dr. Ruchika has established herself as an innovator in intelligent robotic systems, with her research continuing to influence the development of more adaptive and robust robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1