Alexander Bertino
San Diego State University, University of California San Diego
Papers
8
Total Citations
88
H-Index
4
About
Alexander Bertino is a leading researcher in the control of high-degree-of-freedom robotic manipulators, with a primary focus on trajectory tracking, delay compensation, and safety-critical control. His major contributions include the development of delay-adaptive prediction-based control strategies that enable 7-DOF robot arms to operate reliably even with unknown, long actuator delays—a critical advancement for real-world deployment. Bertino also pioneered prescribed-time control frameworks, which guarantee convergence of tracking errors within a user-defined settling time, and prescribed-time safety filters based on quadratic programming, allowing redundant manipulators to avoid multiple obstacles during fixed-duration tasks with minimal interference to nominal performance. His most-cited work, “Delay-Adaptive Control of a 7-DOF Robot Manipulator,” has garnered 29 citations, while his prescribed-time safety filter paper has 19 citations, reflecting the growing impact of his research. By combining rigorous analytical design with extensive experimental validation, Bertino bridges theory and practice, offering computationally efficient, model-free solutions that are directly applicable to industrial and collaborative robotics. His work is essential reading for students and researchers interested in advanced robot control, adaptive systems, and real-time safety guarantees.
Research Focus
Key Achievements
Top Papers
- 1Delay-Adaptive Control of a 7-DOF Robot Manipulator: Design and Experiments29 citations · 2022
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