معرفی
Riccardo Bonalli is a tenured CNRS researcher at the Laboratory of Signals and Systems (L2S) affiliated with Université Paris-Saclay and CentraleSupélec. Prior to this, he was a Postdoctoral Researcher at Stanford University's Autonomous Systems Lab. He holds a PhD in Applied Mathematics from Sorbonne Université (collaboration with ONERA), a MSc in Mathematical Engineering, and a BSc in Physical Engineering from Politecnico di Milano.
His research focuses on developing algorithms for autonomous systems that balance optimality and robustness in dynamic environments. Key areas include stochastic control, optimal control, differential geometry, and machine learning. Bonalli's work emphasizes mathematical rigor alongside practical algorithm design to address challenges in trajectory optimization, system stabilization, and decision-making under uncertainty.
His recent publications explore topics like statistical linearization, convex optimization for trajectory generation, and risk-averse control strategies. He contributes to interdisciplinary groups such as the COMEDY and MODESTY research teams and participates in seminars like the UQSay and Energy@L2S series.
Bonalli is actively involved in the laboratory's research ecosystem, collaborating on projects related to energy systems, industry 4.0, and biomedical applications. His work bridges theoretical advancements with real-world implementations in robotics, aerospace, and control systems.
