Solving optimal control problems for delayed control-affine systems with quadratic cost by numerical continuation. - Riccardo Bonalli; Bruno Hérissé; Emmanuel Trélat (ACC, 2017)

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. - Riccardo Bonalli; Abhishek Cauligi; Andrew Bylard; Marco Pavone 001 (ICRA, 2019)

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. - Riccardo Bonalli; Abhishek Cauligi; Andrew Bylard; Thomas Lew; Marco Pavone 001 (Robotics: Science and Systems, 2019)

RRT2.0 for Fast and Optimal Kinodynamic Sampling-Based Motion Planning. - Michal Kleinbort; Kiril Solovey; Riccardo Bonalli; Kostas E. Bekris; Dan Halperin (CoRR, 2019)

Continuity of Pontryagin Extremals with Respect to Delays in Nonlinear Optimal Control. - Riccardo Bonalli; Bruno Hérissé; Emmanuel Trélat (SIAM J. Control. Optim., 2019)

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (ECC, 2020)

Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space. - Michal Kleinbort; Edgar Granados; Kiril Solovey; Riccardo Bonalli; Kostas E. Bekris; Dan Halperin (ICRA, 2020)

Sequential Convex Programming For Non-Linear Stochastic Optimal Control. - Riccardo Bonalli; Thomas Lew; Marco Pavone 001 (CoRR, 2020)

Optimal Control of Endoatmospheric Launch Vehicle Systems: Geometric and Computational Issues. - Riccardo Bonalli; Bruno Hérissé; Emmanuel Trélat (IEEE Trans. Autom. Control., 2020)

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. - Andrew Bylard; Riccardo Bonalli; Marco Pavone 001 (ICRA, 2021)

Convex Optimization for Trajectory Generation. - Danylo Malyuta; Taylor P. Reynolds; Michael Szmuk; Thomas Lew; Riccardo Bonalli; Marco Pavone 001; Behçet Açikmese (CoRR, 2021)

Using Spectral Submanifolds for Nonlinear Periodic Control. - Florian Mahlknecht; John Irvin Alora; Shobhit Jain; Edward Schmerling; Riccardo Bonalli; George Haller; Marco Pavone 001 (CDC, 2022)

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. - Thomas Lew; Lucas Janson; Riccardo Bonalli; Marco Pavone 001 (L4DC, 2022)

On the Accessibility and Controllability of Statistical Linearization for Stochastic Control: Algebraic Rank Conditions and their Genericity. - Riccardo Bonalli; Clara Leparoux; Bruno Hérissé; Frédéric Jean (CoRR, 2022)

Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. - Margaret P. Chapman; Riccardo Bonalli; Kevin M. Smith; Insoon Yang; Marco Pavone 001; Claire J. Tomlin (IEEE Trans. Autom. Control., 2022)

Exact Characterization of the Convex Hulls of Reachable Sets. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (CDC, 2023)

Non-Parametric Learning of Stochastic Differential Equations with Fast Rates of Convergence. - Riccardo Bonalli; Alessandro Rudi (CoRR, 2023)

First-Order Pontryagin Maximum Principle for Risk-Averse Stochastic Optimal Control Problems. - Riccardo Bonalli; Benoît Bonnet (SIAM J. Control. Optim., 2023)

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. - Riccardo Bonalli; Thomas Lew; Marco Pavone 001 (IEEE Trans. Autom. Control., 2023)

Mean-Covariance Steering of a Linear Stochastic System with Input Delay and Additive Noise. - Gabriel Velho; Riccardo Bonalli; Jean Auriol; Islam Boussaada (ECC, 2024)

Learning Controlled Stochastic Differential Equations. - Luc Brogat-Motte; Riccardo Bonalli; Alessandro Rudi (CoRR, 2024)

Stabilization and Optimal Control of Interconnected SDE - Scalar PDE System. - Gabriel Velho; Jean Auriol; Riccardo Bonalli; Islam Boussaada (IEEE Control. Syst. Lett., 2024)

Statistical linearization for robust motion planning. - Clara Leparoux; Riccardo Bonalli; Bruno Hérissé; Frédéric Jean (Syst. Control. Lett., 2024)

Sample Average Approximation for Stochastic Programming with Equality Constraints. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (SIAM J. Optim., 2024)

Risk-Averse Trajectory Optimization via Sample Average Approximation. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

A gradient descent-ascent method for continuous-time risk-averse optimal control. - Gabriel Velho; Jean Auriol; Riccardo Bonalli (Syst. Control. Lett., 2025)

Safely Learning Controlled Stochastic Dynamics. - Luc Brogat-Motte; Alessandro Rudi; Riccardo Bonalli (CoRR, 2025)

Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications. - Thomas Lew; Riccardo Bonalli; Lucas Janson; Marco Pavone 001 (Discret. Comput. Geom., 2025)