Luca Sbaglia
Papers
3
Total Citations
66
H-Index
3
About
Luca Sbaglia is a researcher focused on advancing additive manufacturing and industrial robotics, with a particular emphasis on the integration of parallel kinematic manipulators and Metal Injection Molding (MIM) technologies. His most impactful work, "A path planning algorithm for industrial processes under velocity constraints with an application to additive manufacturing" (2017, 51 citations), introduces a novel algorithm that optimizes motion trajectories for 3D printing, addressing critical velocity constraints to improve precision and efficiency in metal part production. This contribution has become a foundational reference for researchers seeking to enhance robotic control in industrial settings. Sbaglia also contributed to the dimensional synthesis of a 5-DOF parallel kinematic manipulator specifically designed for 3D printers (2015, 12 citations), demonstrating how customized kinematics can reduce costs and expand the capabilities of additive manufacturing. His exploration of a robotic design for MIM-based technology (2017, 3 citations) further underscores his commitment to bridging robotics and materials science. Through these works, Sbaglia has established himself as a key figure in the development of cost-effective, high-precision manufacturing solutions, inspiring students and engineers to rethink the intersection of robotics and production.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Robotic Design for a MIM Based Technology3 citations · 2017