Ugo Rosolia

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 83

Top Topics

Iterative Learning

Partially Observable

Motion Planning

Predictive Control

Top Venues

IEEE Control. Syst. Lett.

IEEE Trans. Autom. Control.

Publications

Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
Risk-Averse Decision Making Under Uncertainty. IEEE Trans. Autom. Control. 69 (1) (2024)
Devansh R. Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. CoRR (2024)
Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames
Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. ICRA (2023)
Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones
On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller. IEEE Trans. Autom. Control. 68 (1) (2023)
Ugo Rosolia, Dario C. Guastella, Giovanni Muscato, Francesco Borrelli
Model Predictive Control in Partially Observable Multi-Modal Discrete Environments. IEEE Control. Syst. Lett. 7 (2023)
Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram, George Iosifidis, Georgios S. Paschos
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks. CoRR (2023)
Ugo Rosolia, Yuxiao Chen, Shreyansh Daftry, Masahiro Ono, Yisong Yue, Aaron D. Ames
The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms. IEEE Trans. Autom. Control. 68 (7) (2023)
Tomás Nagy, Ahmad Amine, Truong X. Nghiem, Ugo Rosolia, Zirui Zang, Rahul Mangharam
Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces. CoRR (2023)
Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
MLNav: Learning to Safely Navigate on Martian Terrains. CoRR (2022)
Ugo Rosolia, Aaron D. Ames
Iterative Model Predictive Control for Piecewise Systems. IEEE Control. Syst. Lett. 6 (2022)
Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459]. Autom. 146 (2022)
Ugo Rosolia, Andrew Singletary, Aaron D. Ames
Unified Multirate Control: From Low-Level Actuation to High-Level Planning. IEEE Trans. Autom. Control. 67 (12) (2022)
Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
Robust MPC for LPV systems via a novel optimization-based constraint tightening. Autom. 143 (2022)
Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
Multi-Rate Control Design Under Input Constraints via Fixed-Time Barrier Functions. IEEE Control. Syst. Lett. 6 (2022)
Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CDC (2022)
Abhishek Pandala, Randall T. Fawcett, Ugo Rosolia, Aaron D. Ames, Kaveh Akbari Hamed
Robust Predictive Control for Quadrupedal Locomotion: Learning to Close the Gap Between Reduced- and Full-Order Models. IEEE Robotics Autom. Lett. 7 (3) (2022)
Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CoRR (2022)
Devansh Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. IEEE Control. Syst. Lett. 6 (2022)
Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
MLNav: Learning to Safely Navigate on Martian Terrains. IEEE Robotics Autom. Lett. 7 (2) (2022)
Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. CoRR (2022)
Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames
Interactive Multi-Modal Motion Planning With Branch Model Predictive Control. IEEE Robotics Autom. Lett. 7 (2) (2022)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. IEEE Trans. Autom. Control. 67 (2) (2022)
Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames
Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. CoRR (2021)
Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli
A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. CoRR (2021)
Ivo Batkovic, Ugo Rosolia, Mario Zanon, Paolo Falcone
A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles. IEEE Control. Syst. Lett. 5 (3) (2021)
Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames
Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. CoRR (2021)
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. WAFR (2021)
Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
Constrained Risk-Averse Markov Decision Processes. AAAI (2021)
Ugo Rosolia, Aaron D. Ames
Iterative Model Predictive Control for Piecewise Systems. CoRR (2021)
Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
Multi-rate Control Design under Input Constraints via Fixed-Time Barrier Functions. CoRR (2021)
Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli
A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. ACC (2021)
Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames
Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. CDC (2021)
Yuxiao Chen, Ugo Rosolia, Aaron D. Ames
Decentralized Task and Path Planning for Multi-Robot Systems. IEEE Robotics Autom. Lett. 6 (3) (2021)
Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach. CoRR (2021)
Prithvi Akella, Ugo Rosolia, Aaron D. Ames
Learning Performance Bounds for Safety-Critical Systems. CoRR (2021)
Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
Risk-Averse Decision Making Under Uncertainty. CoRR (2021)
Ugo Rosolia, Aaron D. Ames
Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. IEEE Control. Syst. Lett. 5 (3) (2021)
Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. CoRR (2021)
Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames
Interactive multi-modal motion planning with Branch Model Predictive Control. CoRR (2021)
Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control. IROS (2021)
Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli
Distributed Learning Model Predictive Control for Linear Systems. CoRR (2020)
Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones
On the Optimality and Convergence Properties of the Learning Model Predictive Controller. CoRR (2020)
Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray
Reactive motion planning with probabilistic safety guarantees. CoRR (2020)
Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CoRR (2020)
Ugo Rosolia, Andrew Singletary, Aaron D. Ames
Unified Multi-Rate Control: from Low Level Actuation to High Level Planning. CoRR (2020)
Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli
Distributed Learning Model Predictive Control for Linear Systems. CDC (2020)
Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
Constrained Risk-Averse Markov Decision Processes. CoRR (2020)
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. IEEE Robotics Autom. Lett. 5 (2) (2020)
Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CoRR (2020)
Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. CoRR (2020)
Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CDC (2020)
Yuxiao Chen, Ugo Rosolia, Aaron D. Ames
Decentralized Task and Path Planning for Multi-Robot Systems. CoRR (2020)
Nicola Scianca, Ugo Rosolia, Francesco Borrelli
Learning Model Predictive Control for Periodic Repetitive Tasks. ECC (2020)
Prithvi Akella, Ugo Rosolia, Andrew Singletary, Aaron D. Ames
Formal Verification of Safety Critical Autonomous Systems via Bayesian Optimization. CoRR (2020)
Ugo Rosolia, Aaron D. Ames
Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. CoRR (2020)
Ugo Rosolia, Francesco Borrelli
Learning How to Autonomously Race a Car: A Predictive Control Approach. IEEE Trans. Control. Syst. Technol. 28 (6) (2020)
Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli
Output-Lifted Learning Model Predictive Control for Flat Systems. CoRR (2020)
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. CoRR (2020)
Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray
Reactive motion planning with probabilisticsafety guarantees. CoRL (2020)
Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CDC (2020)
Nicola Scianca, Ugo Rosolia, Francesco Borrelli
Learning Model Predictive Control for Periodic Repetitive Tasks. CoRR (2019)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
Simple Policy Evaluation for Data-Rich Iterative Tasks. ACC (2019)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
Robust Learning Model Predictive Control for Linear Systems. CoRR (2019)
Ugo Rosolia, Francesco Borrelli
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CDC (2019)
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg
Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations. CoRR (2019)
Ugo Rosolia, Francesco Borrelli
Learning How to Autonomously Race a Car: a Predictive Control Approach. CoRR (2019)
Ugo Rosolia, Francesco Borrelli
Minimum Time Learning Model Predictive Control. CoRR (2019)
Ugo Rosolia, Francesco Borrelli
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CoRR (2019)
Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli
Adaptive MPC for Iterative Tasks. CDC (2018)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
Data-Driven Predictive Control for Autonomous Systems. Annu. Rev. Control. Robotics Auton. Syst. 1 (2018)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
A Stochastic MPC Approach with Application to Iterative Learning. CDC (2018)
Ugo Rosolia, Francesco Borrelli
Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework. IEEE Trans. Autom. Control. 63 (7) (2018)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
Simple Policy Evaluation for Data-Rich Iterative Tasks. CoRR (2018)
Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli
Adaptive MPC for Iterative Tasks. CoRR (2018)
Ugo Rosolia, Francesco Borrelli
Learning Model Predictive Control for Iterative Tasks: A Computationally Efficient Approach for Linear System. CoRR (2017)
Ugo Rosolia, Francesco Braghin, Andrew G. Alleyne, Stijn De Bruyne, Edoardo Sabbioni
A decentralized algorithm for control of autonomous agents coupled by feasibility constraints. CoRR (2017)
Ugo Rosolia, Stijn De Bruyne, Andrew G. Alleyne
Autonomous Vehicle Control: A Nonconvex Approach for Obstacle Avoidance. IEEE Trans. Control. Syst. Technol. 25 (2) (2017)
Maximilian Brunner, Ugo Rosolia, Jon Gonzales, Francesco Borrelli
Repetitive learning model predictive control: An autonomous racing example. CDC (2017)
Ugo Rosolia, Francesco Braghin, Andrew G. Alleyne, Stijn De Bruyne, Edoardo Sabbioni
A decentralized algorithm for control of autonomous agents coupled by feasibility constraints. ACC (2017)
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
Robust learning model predictive control for iterative tasks: Learning from experience. CDC (2017)
Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli
Autonomous racing using learning Model Predictive Control. ACC (2017)
Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli
Autonomous Racing using Learning Model Predictive Control. CoRR (2016)
Ugo Rosolia, Francesco Borrelli
Learning Model Predictive Control for Iterative Tasks. CoRR (2016)