Goshaidas Ray
Papers
2
Total Citations
32
H-Index
2
About
Goshaidas Ray is a control systems researcher whose work focuses on the robust and adaptive control of robotic manipulators under parametric uncertainty. His major contributions lie in developing advanced control algorithms that ensure precise trajectory tracking even when system parameters are unknown or variable. His most-cited paper, "An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator" (2011, 26 citations), introduces an adaptive fuzzy control scheme that outperforms conventional nonlinear saturation controllers by guaranteeing asymptotic stability for n-DOF robots. This work is notable for its practical approach to handling uncertainty without requiring exact system models. In his subsequent research, such as "Robust control of robot manipulator based on estimation of upper bounds on parametric uncertainty" (2014, 6 citations), Ray further refines robust control laws derived from Lyapunov theory, emphasizing the estimation of uncertainty bounds to maintain system stability. Ray's contributions are significant for students and researchers in robotics and control engineering, as they bridge theoretical rigor with real-world applicability, offering reliable solutions for autonomous systems operating in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator26 citations · 2011
- 2