Marcello Domenighini
Papers
1
Total Citations
9
H-Index
1
About
Marcello Domenighini is a researcher at the intersection of vehicle dynamics and robotics, with a core focus on reduced-order modeling and trajectory optimization for high-performance vehicles. His most notable contribution is the development of a Lie group-based race car model, which bridges a gap between computational dynamics and the vehicle dynamics community. By deriving dynamic equations using Lie-group methods—a framework more common in robotics—Domenighini enables systematic and efficient trajectory optimization on complex 3D tracks. This work, published in 2023 and already cited 9 times, offers a powerful tool for autonomous racing and advanced driver assistance systems, allowing for real-time, geometrically consistent motion planning. His approach stands out for its mathematical elegance and practical applicability, making complex vehicle behavior more tractable for optimization algorithms. Domenighini’s research is particularly impactful for students and engineers seeking to apply modern geometric mechanics to real-world vehicle control problems, and his work is poised to influence both academic research and industry applications in autonomous driving.
Research Focus
Key Achievements
Top Papers
- 1