Cesar Delgado

Papers

Total Citations

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About

Cesar Delgado is a robotics researcher whose work centers on the control and trajectory optimization of wheeled mobile robots (WMRs), with a particular emphasis on omnidirectional platforms. His most-cited paper, "LQR Trajectory Tracking Control of an Omnidirectional Wheeled Mobile Robot" (2018, 26 citations), addresses a critical challenge in robotics: achieving precise, stable movement in environments ranging from agriculture to industrial automation. By applying Linear Quadratic Regulator (LQR) control theory to holonomic robots, Delgado demonstrated how to enhance trajectory tracking accuracy—a fundamental requirement for autonomous navigation in complex, dynamic settings. This contribution is especially valuable for applications requiring high maneuverability, such as warehouse logistics or precision farming. Beyond this flagship work, Delgado’s research explores the intersection of control theory and mechanical design, advancing the practical deployment of omnidirectional robots. With 26 citations on his top paper, his findings have informed subsequent studies in mobile robotics and control systems, marking him as a thoughtful contributor to the field. For students and researchers, Delgado’s work offers a clear example of how classical control methods can be adapted to solve modern robotic challenges, bridging theory and real-world utility.