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About

Manuel R. Barbosa is a robotics and engineering education researcher whose work spans two complementary domains: the optimization of robotic manipulators and the development of innovative virtual learning environments for industrial robotics. His research has made meaningful contributions to both the theoretical design of complex robotic systems and practical pedagogy in engineering education. In the area of robotic design, Barbosa has applied evolutionary computing techniques — including genetic algorithms — to tackle challenging kinematic optimization problems in parallel manipulators. His work on 6-DOF parallel robotic manipulators, which has garnered 10 citations, demonstrates a rigorous approach to maximizing dexterity through condition number optimization of the inverse kinematic Jacobian. Perhaps his most recognized contribution is his pioneering work on virtual robotics laboratories, particularly his 2013 paper on RobotStudio-based virtual labs, which has attracted 16 citations — his most cited work to date. This line of research, further developed through subsequent studies in 2014 and 2015, bridges the gap between theoretical instruction and hands-on industrial programming experience for university students. Barbosa's sustained focus on accessible, simulation-driven engineering education reflects a commitment to modernizing how robotics is taught at the university level.