Papers
3
Total Citations
110
H-Index
2
About
Carlos Lopez-Uribe is a robotics and control systems researcher whose work centers on the development of robust control strategies for mobile robotic platforms. His research focuses particularly on active disturbance rejection control (ADRC) and linear observer-based feedback schemes, with a strong emphasis on solving real-world challenges in autonomous robot navigation and trajectory tracking. His most recognized contribution, "Linear Observer‐Based Active Disturbance Rejection Control of the Omnidirectional Mobile Robot" (2012), has garnered 102 citations and stands as a landmark work in the field. In it, Lopez-Uribe elegantly addresses one of mobile robotics' persistent challenges: compensating for unknown, nonlinear disturbances without requiring precise system models. By leveraging linear observer design alongside active disturbance rejection principles, his approach enables reliable output reference trajectory tracking even under uncertain, state-dependent conditions. Building on this foundation, his earlier works from 2010 extended these methods to real-time implementations and input-delayed systems, demonstrating the practical versatility of his control frameworks. Together, these contributions reflect a coherent and impactful research agenda that bridges theoretical control design with real-world robotic applications, making his work particularly valuable for researchers and engineers working in autonomous mobile systems and robust control engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-time linear control of the omnidirectional mobile robot6 citations · 2010
- 3