Riccardo Bonalli

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Stochastic Programming

Optimal Control

Convex Programming

Sample Average Approximation

Top Venues

IEEE Trans. Autom. Control.

Publications

Thomas Lew, Riccardo Bonalli, Marco Pavone
Risk-Averse Trajectory Optimization via Sample Average Approximation. IEEE Robotics Autom. Lett. 9 (2) (2024)
Gabriel Velho, Riccardo Bonalli, Jean Auriol, Islam Boussaada
Mean-Covariance Steering of a Linear Stochastic System with Input Delay and Additive Noise. ECC (2024)
Clara Leparoux, Riccardo Bonalli, Bruno Hérissé, Frédéric Jean
Statistical linearization for robust motion planning. Syst. Control. Lett. 189 (2024)
Riccardo Bonalli, Thomas Lew, Marco Pavone
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. IEEE Trans. Autom. Control. 68 (8) (2023)
Thomas Lew, Riccardo Bonalli, Marco Pavone
Exact Characterization of the Convex Hulls of Reachable Sets. CDC (2023)
Riccardo Bonalli, Benoît Bonnet
First-Order Pontryagin Maximum Principle for Risk-Averse Stochastic Optimal Control Problems. SIAM J. Control. Optim. 61 (3) (2023)
Riccardo Bonalli, Alessandro Rudi
Non-Parametric Learning of Stochastic Differential Equations with Fast Rates of Convergence. CoRR (2023)
Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone
Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications. CoRR (2023)
Thomas Lew, Riccardo Bonalli, Marco Pavone
Exact Characterization of the Convex Hulls of Reachable Sets. CoRR (2023)
Thomas Lew, Riccardo Bonalli, Marco Pavone
Risk-Averse Trajectory Optimization via Sample Average Approximation. CoRR (2023)
Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. 67 (12) (2022)
Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. L4DC (2022)
Riccardo Bonalli, Clara Leparoux, Bruno Hérissé, Frédéric Jean
On the Accessibility and Controllability of Statistical Linearization for Stochastic Control: Algebraic Rank Conditions and their Genericity. CoRR (2022)
Thomas Lew, Riccardo Bonalli, Marco Pavone
Sample Average Approximation for Stochastic Programming with Equality Constraints. CoRR (2022)
Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone
Using Spectral Submanifolds for Nonlinear Periodic Control. CoRR (2022)
Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone
Using Spectral Submanifolds for Nonlinear Periodic Control. CDC (2022)
Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk, Thomas Lew, Riccardo Bonalli, Marco Pavone, Behçet Açikmese
Convex Optimization for Trajectory Generation. CoRR (2021)
Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin
Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR (2021)
Andrew Bylard, Riccardo Bonalli, Marco Pavone
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. CoRR (2021)
Andrew Bylard, Riccardo Bonalli, Marco Pavone
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. ICRA (2021)
Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. CoRR (2021)
Thomas Lew, Riccardo Bonalli, Marco Pavone
Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization. ECC (2020)
Riccardo Bonalli, Thomas Lew, Marco Pavone
Sequential Convex Programming For Non-Linear Stochastic Optimal Control. CoRR (2020)
Riccardo Bonalli, Thomas Lew, Marco Pavone
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. CoRR (2020)
Michal Kleinbort, Edgar Granados, Kiril Solovey, Riccardo Bonalli, Kostas E. Bekris, Dan Halperin
Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space. ICRA (2020)
Riccardo Bonalli, Bruno Hérissé, Emmanuel Trélat
Optimal Control of Endoatmospheric Launch Vehicle Systems: Geometric and Computational Issues. IEEE Trans. Autom. Control. 65 (6) (2020)
Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi, Thomas Lew, Marco Pavone
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. CoRR (2019)
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone
GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. ICRA (2019)
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. Robotics: Science and Systems (2019)
Michal Kleinbort, Kiril Solovey, Riccardo Bonalli, Kostas E. Bekris, Dan Halperin
RRT2.0 for Fast and Optimal Kinodynamic Sampling-Based Motion Planning. CoRR (2019)
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming. CoRR (2019)
Riccardo Bonalli, Bruno Hérissé, Emmanuel Trélat
Continuity of Pontryagin Extremals with Respect to Delays in Nonlinear Optimal Control. SIAM J. Control. Optim. 57 (2) (2019)
Riccardo Bonalli, Bruno Hérissé, Emmanuel Trélat
Solving optimal control problems for delayed control-affine systems with quadratic cost by numerical continuation. ACC (2017)