Massimo Guiggiani
Papers
2
Total Citations
34
H-Index
2
About
Massimo Guiggiani is a leading figure in vehicle dynamics and autonomous racing, whose work bridges classical mechanical engineering with cutting-edge robotics. His primary research focuses on the modeling, control, and trajectory optimization of high-performance vehicles, with a particular emphasis on full-scale self-driving racing cars. Guiggiani’s major contributions include pioneering the design of robotic drivers for autonomous racing, as outlined in his highly cited 2019 paper (25 citations), which addresses the integration of perception, planning, and control for real-world racing scenarios. He has also advanced the field through innovative use of Lie-group methods for reduced-order race car models, enabling systematic trajectory optimization on 3D tracks—a 2023 work (9 citations) that demonstrates his ability to introduce sophisticated mathematical frameworks to the vehicle dynamics community. With a career spanning decades, Guiggiani is also renowned for his textbook *The Science of Vehicle Dynamics*, a definitive resource for students and engineers. His work has profound implications for autonomous driving, motorsport engineering, and safety systems, making him a pivotal figure in the evolution of intelligent vehicles.
Research Focus
Key Achievements
Top Papers
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