Max Robotics — Global Service Robot Directory + US Certification

About

M. Battistelli is a robotics researcher whose work centers on the control, dynamics, and design of parallel manipulators—a class of robots prized for their precision and stiffness. Their major contributions lie at the intersection of visual servoing and parallel robot mechanics. Battistelli’s most cited work (36 citations) provides a rigorous comparison between position-based and image-based visual servoing for a translating parallel manipulator, demonstrating how each control strategy enables a robot to reach and grasp randomly positioned targets. This research is essential for applications requiring high-speed, accurate manipulation. Further contributions include the dynamic modelling of a 3-CPU Cartesian parallel robot using screw theory and the virtual work principle, resulting in a computationally efficient model that advances the understanding of robot dynamics. Battistelli also analyzed the mass distribution of a functionally extended Delta robot, a key step in optimizing robot performance. With a total of over 80 citations across their top papers, Battistelli’s work provides foundational knowledge for students and researchers in robotics, particularly those interested in parallel mechanisms and vision-based control.