Rickey Dubay
Papers
11
Total Citations
156
H-Index
6
About
Rickey Dubay’s research lies at the intersection of advanced control theory, robotics, and autonomous systems, with a particular focus on nonlinear and adaptive control for robotic manipulators and mobile platforms. His most influential work, “Non-linear model predictive control schemes with application on a 2 link vertical robot manipulator” (76 citations), establishes foundational contributions to predictive control strategies for complex robotic systems. Dubay has made significant advances in neural network-based control, developing adaptive composite neural network disturbance observers and observer-based adaptive neural control methods that achieve prescribed performance in electrically-driven robotic manipulators—work that has garnered over 20 citations each. His research extends to practical applications, including telerobotic shipboard handling systems for rough-sea payload deployment and sliding mode control for two-wheeled self-balancing mobile robots. More recently, Dubay has explored deep learning applications in autonomous mobile robot control and developed robotic camera positioning systems for photogrammetric inspection of hydroelectric tunnels, demonstrating the translation of theoretical control advances into real-world infrastructure monitoring solutions. His work consistently bridges the gap between sophisticated nonlinear control theory and practical robotic implementations.
Research Focus
Key Achievements
Top Papers
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- 4Telerobotic shipboard handling system8 citations · 2002
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