Simone Giudice
Papers
1
Total Citations
6
H-Index
1
About
Simone Giudice is a robotics researcher whose work focuses on the control of physical interactions, particularly the challenging dynamics of impacts and contact-rich manipulation. His most-cited paper, "Impact Planning and Pre-configuration based on Hierarchical Quadratic Programming" (2022, 6 citations), addresses a critical gap in industrial robotics: the deliberate use of impacts. While impacts are often avoided in traditional control, Giudice shows they are essential for tasks like deburring, assembly, and material removal—operations that pose health risks to humans. By leveraging hierarchical quadratic programming, he developed a framework to plan and pre-configure robotic systems for controlled, safe impacts, enabling automation of these hazardous processes. This work bridges the gap between theoretical control and practical industrial needs, offering a systematic approach to handling non-smooth behaviors. Giudice’s contributions are particularly valuable for manufacturing sectors seeking to automate high-risk tasks, and his research continues to influence the design of robust, impact-aware robotic controllers.
Research Focus
Key Achievements
Top Papers
- 1