Ugo Rosolia - RankMe

86 papers A* 2A 1C 6Misc 1Journal 65Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks. CoRR Zirui Zang, Ahmad Amine, Nick-Marios T. Kokolakis, Truong X. Nghiem, Ugo Rosolia, Rahul Mangharam
2026	J	`jnl`	SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks. IEEE Robotics Autom. Lett. Zirui Zang, Ahmad Amine, Nick-Marios T. Kokolakis, Truong X. Nghiem, Ugo Rosolia, Rahul Mangharam
2025	C	`conf`	Speed-Aware Network Design: A Parametric Optimization Approach. ATMOS Ugo Rosolia, Marc Bataillou Almagro, George Iosifidis, Martin Groß, Georgios S. Paschos
2024	J	`jnl`	A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. CoRR Devansh R. Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2024	J	`jnl`	Risk-Averse Decision Making Under Uncertainty. IEEE Trans. Autom. Control. Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
2023	J	`jnl`	Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces. CoRR Tomás Nagy, Ahmad Amine, Truong X. Nghiem, Ugo Rosolia, Zirui Zang, Rahul Mangharam
2023	A*	`conf`	Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. ICRA Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames
2023	J	`jnl`	Model Predictive Control in Partially Observable Multi-Modal Discrete Environments. IEEE Control. Syst. Lett. Ugo Rosolia, Dario C. Guastella, Giovanni Muscato, Francesco Borrelli
2023	J	`jnl`	On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller. IEEE Trans. Autom. Control. Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones
2023	J	`jnl`	Solving Recurrent MIPs with Semi-supervised Graph Neural Networks. CoRR Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram, George Iosifidis, Georgios S. Paschos
2023	J	`jnl`	The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms. IEEE Trans. Autom. Control. Ugo Rosolia, Yuxiao Chen, Shreyansh Daftry, Masahiro Ono, Yisong Yue, Aaron D. Ames
2022	J	`jnl`	A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. IEEE Control. Syst. Lett. Devansh Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2022	J	`jnl`	Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. CoRR Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
2022	J	`jnl`	Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459]. Autom. Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
2022	J	`jnl`	Interactive Multi-Modal Motion Planning With Branch Model Predictive Control. IEEE Robotics Autom. Lett. Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames
2022	J	`jnl`	Iterative Model Predictive Control for Piecewise Systems. IEEE Control. Syst. Lett. Ugo Rosolia, Aaron D. Ames
2022	J	`jnl`	MLNav: Learning to Safely Navigate on Martian Terrains. CoRR Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
2022	J	`jnl`	MLNav: Learning to Safely Navigate on Martian Terrains. IEEE Robotics Autom. Lett. Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
2022	J	`jnl`	Multi-Rate Control Design Under Input Constraints via Fixed-Time Barrier Functions. IEEE Control. Syst. Lett. Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2022	—	`conf`	Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CDC Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
2022	J	`jnl`	Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CoRR Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
2022	J	`jnl`	Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. IEEE Trans. Autom. Control. Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2022	J	`jnl`	Robust MPC for LPV systems via a novel optimization-based constraint tightening. Autom. Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
2022	J	`jnl`	Robust Predictive Control for Quadrupedal Locomotion: Learning to Close the Gap Between Reduced- and Full-Order Models. IEEE Robotics Autom. Lett. Abhishek Pandala, Randall T. Fawcett, Ugo Rosolia, Aaron D. Ames, Kaveh Akbari Hamed
2022	J	`jnl`	Unified Multirate Control: From Low-Level Actuation to High-Level Planning. IEEE Trans. Autom. Control. Ugo Rosolia, Andrew Singletary, Aaron D. Ames
2021	J	`jnl`	A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles. IEEE Control. Syst. Lett. Ivo Batkovic, Ugo Rosolia, Mario Zanon, Paolo Falcone
2021	C	`conf`	A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. ACC Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli
2021	J	`jnl`	A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. CoRR Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli
2021	C	`conf`	ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. WAFR Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg
2021	J	`jnl`	CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. CoRR Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar
2021	A*	`conf`	Constrained Risk-Averse Markov Decision Processes. AAAI Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
2021	J	`jnl`	Decentralized Task and Path Planning for Multi-Robot Systems. IEEE Robotics Autom. Lett. Yuxiao Chen, Ugo Rosolia, Aaron D. Ames
2021	J	`jnl`	Interactive multi-modal motion planning with Branch Model Predictive Control. CoRR Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames
2021	J	`jnl`	Iterative Model Predictive Control for Piecewise Systems. CoRR Ugo Rosolia, Aaron D. Ames
2021	J	`jnl`	Learning Performance Bounds for Safety-Critical Systems. CoRR Prithvi Akella, Ugo Rosolia, Aaron D. Ames
2021	J	`jnl`	Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach. CoRR Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
2021	A	`conf`	Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control. IROS Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
2021	J	`jnl`	Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. CoRR Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames
2021	J	`jnl`	Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. IEEE Control. Syst. Lett. Ugo Rosolia, Aaron D. Ames
2021	J	`jnl`	Multi-rate Control Design under Input Constraints via Fixed-Time Barrier Functions. CoRR Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2021	J	`jnl`	Risk-Averse Decision Making Under Uncertainty. CoRR Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
2021	—	`conf`	Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. CDC Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames
2021	J	`jnl`	Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. CoRR Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames
2020	J	`jnl`	ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. CoRR Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg
2020	J	`jnl`	Constrained Risk-Averse Markov Decision Processes. CoRR Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
2020	—	`conf`	Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CDC Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
2020	J	`jnl`	Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CoRR Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
2020	J	`jnl`	Decentralized Task and Path Planning for Multi-Robot Systems. CoRR Yuxiao Chen, Ugo Rosolia, Aaron D. Ames
2020	—	`conf`	Distributed Learning Model Predictive Control for Linear Systems. CDC Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli
2020	J	`jnl`	Distributed Learning Model Predictive Control for Linear Systems. CoRR Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli
2020	J	`jnl`	Formal Verification of Safety Critical Autonomous Systems via Bayesian Optimization. CoRR Prithvi Akella, Ugo Rosolia, Andrew Singletary, Aaron D. Ames
2020	J	`jnl`	Learning How to Autonomously Race a Car: A Predictive Control Approach. IEEE Trans. Control. Syst. Technol. Ugo Rosolia, Francesco Borrelli
2020	—	`conf`	Learning Model Predictive Control for Periodic Repetitive Tasks. ECC Nicola Scianca, Ugo Rosolia, Francesco Borrelli
2020	J	`jnl`	Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. CoRR Ugo Rosolia, Aaron D. Ames
2020	J	`jnl`	On the Optimality and Convergence Properties of the Learning Model Predictive Controller. CoRR Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones
2020	J	`jnl`	Output-Lifted Learning Model Predictive Control for Flat Systems. CoRR Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli
2020	J	`jnl`	Reactive motion planning with probabilistic safety guarantees. CoRR Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray
2020	Misc	`conf`	Reactive motion planning with probabilisticsafety guarantees. CoRL Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray
2020	J	`jnl`	Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. CoRR Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
2020	J	`jnl`	Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. IEEE Robotics Autom. Lett. Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg
2020	—	`conf`	Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CDC Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
2020	J	`jnl`	Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CoRR Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
2020	J	`jnl`	Unified Multi-Rate Control: from Low Level Actuation to High Level Planning. CoRR Ugo Rosolia, Andrew Singletary, Aaron D. Ames
2019	J	`jnl`	Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations. CoRR Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg
2019	J	`jnl`	Learning How to Autonomously Race a Car: a Predictive Control Approach. CoRR Ugo Rosolia, Francesco Borrelli
2019	J	`jnl`	Learning Model Predictive Control for Periodic Repetitive Tasks. CoRR Nicola Scianca, Ugo Rosolia, Francesco Borrelli
2019	J	`jnl`	Minimum Time Learning Model Predictive Control. CoRR Ugo Rosolia, Francesco Borrelli
2019	J	`jnl`	Robust Learning Model Predictive Control for Linear Systems. CoRR Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2019	—	`conf`	Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CDC Ugo Rosolia, Francesco Borrelli
2019	J	`jnl`	Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CoRR Ugo Rosolia, Francesco Borrelli
2019	C	`conf`	Simple Policy Evaluation for Data-Rich Iterative Tasks. ACC Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2018	—	`conf`	A Stochastic MPC Approach with Application to Iterative Learning. CDC Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2018	—	`conf`	Adaptive MPC for Iterative Tasks. CDC Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli
2018	J	`jnl`	Adaptive MPC for Iterative Tasks. CoRR Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli
2018	J	`jnl`	Data-Driven Predictive Control for Autonomous Systems. Annu. Rev. Control. Robotics Auton. Syst. Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2018	J	`jnl`	Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework. IEEE Trans. Autom. Control. Ugo Rosolia, Francesco Borrelli
2018	J	`jnl`	Simple Policy Evaluation for Data-Rich Iterative Tasks. CoRR Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2017	C	`conf`	A decentralized algorithm for control of autonomous agents coupled by feasibility constraints. ACC Ugo Rosolia, Francesco Braghin, Andrew G. Alleyne, Stijn De Bruyne, Edoardo Sabbioni
2017	J	`jnl`	A decentralized algorithm for control of autonomous agents coupled by feasibility constraints. CoRR Ugo Rosolia, Francesco Braghin, Andrew G. Alleyne, Stijn De Bruyne, Edoardo Sabbioni
2017	J	`jnl`	Autonomous Vehicle Control: A Nonconvex Approach for Obstacle Avoidance. IEEE Trans. Control. Syst. Technol. Ugo Rosolia, Stijn De Bruyne, Andrew G. Alleyne
2017	C	`conf`	Autonomous racing using learning Model Predictive Control. ACC Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli
2017	J	`jnl`	Learning Model Predictive Control for Iterative Tasks: A Computationally Efficient Approach for Linear System. CoRR Ugo Rosolia, Francesco Borrelli
2017	—	`conf`	Repetitive learning model predictive control: An autonomous racing example. CDC Maximilian Brunner, Ugo Rosolia, Jon Gonzales, Francesco Borrelli
2017	—	`conf`	Robust learning model predictive control for iterative tasks: Learning from experience. CDC Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2016	J	`jnl`	Autonomous Racing using Learning Model Predictive Control. CoRR Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli
2016	J	`jnl`	Learning Model Predictive Control for Iterative Tasks. CoRR Ugo Rosolia, Francesco Borrelli