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About

Luis Antonio Orbegoso Moreno is a leading researcher in the field of robotics, specializing in control systems, inverse kinematics, and the automation of robotic manipulators. His work addresses fundamental challenges in robot motion, from constraint-aware control to efficient kinematic computation. His most cited paper, "A predictive control algorithm with interpolation for a robot manipulator with constraints" (2002, 7 citations), introduced a suboptimal predictive control strategy for two-link robot arms, balancing performance with computational efficiency. More recently, Orbegoso has focused on advancing inverse kinematics for serial and redundant robots. His 2022 adaptation of the FABRIK algorithm (6 citations) brought a fast, heuristic method from computer graphics into practical robotics, while his 2023 comparative study (3 citations) evaluated five state-of-the-art iterative methods—including PSO, GA, and DLS—for solving inverse kinematics in high-degree-of-freedom systems. In 2024, he pushed the boundaries of automatic differentiation by applying dual numbers to compute differential kinematics, enabling exact Jacobian calculations without approximation error. With a growing body of work that bridges theoretical rigor and practical application, Orbegoso continues to make impactful contributions to robot motion planning and control.