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About

Miguel Angel Trujano-Cabrera is a robotics and control systems researcher whose work sits at the intersection of robust control theory, visual servoing, and robotic manipulation. His research spans two major domains: the design of advanced controllers for robotic arms and the development of image-based control strategies for parallel robot systems. Among his most significant contributions is his 2016 investigation into feedback linearization and sliding mode control for flexible-joint robotic arms, which has garnered 30 citations and stands as a key reference for researchers tackling unmodeled dynamics in trajectory tracking tasks. His 2019 work on Proportional Retarded control offers an elegant solution to robot manipulator tracking that eliminates the need for velocity measurements — a practically valuable advancement that has earned 13 citations. Trujano-Cabrera has also made sustained contributions to visual control of parallel robots, exploring PID-based image control, stability analysis under camera orientation uncertainty, and overactuated robotic systems across multiple publications spanning 2008 to 2019. His use of strict Lyapunov functions to rigorously establish asymptotic stability reflects a mathematically rigorous approach to control design. With a consistent publication record bridging theory and experimental validation, his work offers valuable insights for students and engineers working in advanced robotic control.