Riccardo Bonalli
Présentation
I am tenured CNRS resercher at Laboratory of Signals and Systems (L2S), Paris-Saclay. Prior to joining L2S, I was Postdoctoral Researcher at the Autonomous Systems Lab (ASL), Department of Aeronautics & Astronautics, Stanford University. I obtained a PhD in Applied Mathematics at Sorbonne Université in collaboration with ONERA-The French Aerospace Lab. I also received a MSc in Mathematical Engineering and a BSc in Physical Engineering both from Politecnico di Milano. The goal of my research is to devise algorithms for autonomous systems that balance optimality and robustness to select the best available strategy and make decisions under uncertainty in dynamic environments. My research philosophy promotes mathematical investigation into the nature of these problems alongside algorithmic design. By leveraging tools from optimal, geometric and stochastic control, differential geometry, optimization, statistical analysis, and machine learning, the goal is to reveal structure and insights to drive major improvements over existing algorithms and create novel paradigms.
Publications
Publications
|
|
Safely Learning Controlled Stochastic DynamicsNeurIPS 2025 – Thirty-ninth Conference on Neural Information Processing Systems, Dec 2025, San diego (Californie), United States |
|
|
Continuous-Time Nonlinear Optimal Control Problem Under Signal Temporal Logic ConstraintsIEEE Conference on Decision and Control, 2025, Rio de Janeiro, Brazil |
|
|
Stabilization and Optimal Control of a Multi Input-Delayed SDE SystemJoint SSSC, TDS, COSY conference, Jun 2025, Gif-sur Yvette, France |
|
|
Optimal Control of an Interconnected SDE -Parabolic PDE SystemIEEE Conference on Decision and Control, 2025, Rio de Janeiro, France |
|
|
Mean-Covariance Steering of a Linear Stochastic System with Input Delay and Additive Noise22nd European Control Conference (ECC 2024), Jun 2024, Stockholm, Sweden |
|
|
Exact Characterization of the Convex Hulls of Reachable Sets62nd IEEE Conference on Decision and Control (CDC 2023), Dec 2023, Singapour, Singapore |
|
|
A Simple and Efficient Sampling-based Algorithm for General Reachability AnalysisLearning for Dynamics and Control Conference 2022, 2022, Stanford (CA), United States |
|
|
Using Spectral Submanifolds for Nonlinear Periodic Control61st IEEE Conference on Decision and Control (CDC 2022), Dec 2022, Cancun, Mexico. ⟨10.1109/cdc51059.2022.9992400⟩ |
|
|
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical SystemsInternational conference on Robotics and Automation (ICRA 2021), May 2021, Xi'an, China |
|
|
Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space2020 IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. pp.6344-6350, ⟨10.1109/ICRA40945.2020.9197236⟩ |
|
|
Learning-based Warm-Starting for Fast Sequential Convex Programming and Trajectory Optimization2020 IEEE Aerospace Conference, Mar 2020, Big Sky, MT, United States. ⟨10.1109/AERO47225.2020.9172293⟩ |
|
|
Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization2020 European Control Conference (ECC), May 2020, Saint Petersburg, Russia. pp.1871-1878, ⟨10.23919/ECC51009.2020.9143595⟩ |
|
|
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming2019 International Conference on Robotics and Automation (ICRA), May 2019, Montreal, Canada. pp.6741-6747, ⟨10.1109/ICRA.2019.8794205⟩ |
|
|
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming ApproachRobotics:Science and Systems 2019, Jun 2019, Fribourg, Germany |
|
|
Analytical Initialization of a Continuation-Based Indirect Method for Optimal Control of Endo-Atmospheric Launch Vehicle SystemsIFAC 2017, Jul 2017, Toulouse, France |
The Dubins Car Problem with Delay and Applications to Aeronautics Motion Planning Problems18th French - German - Italian Conference on Optimization (2017), Sep 2017, Paderborn, Germany |
|
|
|
Solving Optimal Control Problems for Delayed Control-Affine Systems with Quadratic Cost by Numerical ContinuationAmerican Control Conference, May 2017, Seattle, United States |
|
|
Optimal control of aerospace systems with control-state constraints and delaysOptimization and Control [math.OC]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS388⟩ |