Andrea Ginammi

Research and Environmental Devices (Italy), University of Bergamo

Papers

Total Citations

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About

Andrea Ginammi is a robotics researcher whose work focuses on the design, control, and optimization of parallel kinematic machines (PKMs) for high-precision industrial applications. His research spans two key areas: high-speed pick-and-place robotics and micromanipulation systems. In his most-cited work (2024, 10 citations), Ginammi experimentally investigates the dynamic performance of a high-speed 4-DOF 5R parallel robot using inverse dynamics control, demonstrating how advanced control algorithms can significantly enhance the stiffness and dynamic behavior of PKMs beyond their mechanical design alone. Earlier, he contributed to the miniaturization trend in industrial automation through his work on designing and optimizing a PKM specifically for micromanipulation (2015, 2 citations), addressing the growing need for cost-effective, automated solutions in precision assembly. His research bridges the gap between theoretical control strategies and practical robotic performance, making him a notable contributor to the field of parallel robotics for both macro- and micro-scale applications.