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About

M. Sanchez-Magos is a robotics researcher specializing in advanced control systems for collaborative and humanoid robots. Their work focuses on adaptive and sliding-mode control strategies to enhance the precision, energy efficiency, and safety of robotic manipulators and humanoid locomotion. Sanchez-Magos’s most notable contribution is the design of an Adaptive Proportional Derivative Controller (APDC) for cooperative manipulators, which reduces energy consumption during trajectory tracking—a key challenge in industrial automation. This work, published in 2018, has garnered 8 citations. They have also pioneered hybrid position–admittance control for surgical robotics, specifically an adaptive output super-twisting controller for a robotic scalpel (2019, 6 citations), improving precision in delicate medical procedures. In humanoid robotics, Sanchez-Magos developed terminal sliding-mode controllers to manage joint restrictions and walking on disjoint stepping objects (2020, 5 citations), addressing complex locomotion problems. Their research, spanning from collaborative manipulators to virtual humanoids, demonstrates a commitment to robust, adaptive control solutions. With a growing citation record, Sanchez-Magos is establishing themselves as a contributor to the next generation of intelligent robotic systems.