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2020 – today
- 2024
[j22]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): 55-68 (2024)- [i41]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 abs/2403.18015 (2024) - 2023
- [j21]Ugo Rosolia, Dario C. Guastella, Giovanni Muscato, Francesco Borrelli:
Model Predictive Control in Partially Observable Multi-Modal Discrete Environments. IEEE Control. Syst. Lett. 7: 2161-2166 (2023) - [j20]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): 556-563 (2023) - [j19]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): 4435-4442 (2023) - [c20]Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames:
Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. ICRA 2023: 1386-1392 - [i40]Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram, George Iosifidis, Georgios S. Paschos:
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks. CoRR abs/2302.11992 (2023) - [i39]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 abs/2303.13694 (2023) - 2022
- [j18]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: 110459 (2022) - [j17]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: 110546 (2022) - [j16]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: 608-613 (2022) - [j15]Ugo Rosolia, Aaron D. Ames:
Iterative Model Predictive Control for Piecewise Systems. IEEE Control. Syst. Lett. 6: 842-847 (2022) - [j14]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: 2138-2143 (2022) - [j13]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): 5365-5372 (2022) - [j12]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): 5461-5468 (2022) - [j11]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): 6622-6629 (2022) - [j10]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. IEEE Trans. Autom. Control. 67(2): 856-869 (2022) - [j9]Ugo Rosolia, Andrew Singletary, Aaron D. Ames:
Unified Multirate Control: From Low-Level Actuation to High-Level Planning. IEEE Trans. Autom. Control. 67(12): 6627-6640 (2022) - [c19]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: 3732-3739 - [i38]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 abs/2202.07008 (2022) - [i37]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 abs/2203.04563 (2022) - [i36]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 abs/2204.00152 (2022) - 2021
- [j8]Ivo Batkovic, Ugo Rosolia, Mario Zanon, Paolo Falcone:
A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles. IEEE Control. Syst. Lett. 5(3): 947-952 (2021) - [j7]Ugo Rosolia, Aaron D. Ames:
Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. IEEE Control. Syst. Lett. 5(3): 1007-1012 (2021) - [j6]Yuxiao Chen, Ugo Rosolia, Aaron D. Ames:
Decentralized Task and Path Planning for Multi-Robot Systems. IEEE Robotics Autom. Lett. 6(3): 4337-4344 (2021) - [c18]Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Constrained Risk-Averse Markov Decision Processes. AAAI 2021: 11718-11725 - [c17]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli:
A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. ACC 2021: 2108-2113 - [c16]Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames:
Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. CDC 2021: 4287-4294 - [c15]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: 3896-3903 - [c14]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: 1-17 - [i35]Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames:
Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. CoRR abs/2103.01476 (2021) - [i34]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 abs/2103.03695 (2021) - [i33]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 abs/2103.04548 (2021) - [i32]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli:
A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. CoRR abs/2103.12351 (2021) - [i31]Ugo Rosolia, Aaron D. Ames:
Iterative Model Predictive Control for Piecewise Systems. CoRR abs/2104.08267 (2021) - [i30]Prithvi Akella, Ugo Rosolia, Aaron D. Ames:
Learning Performance Bounds for Safety-Critical Systems. CoRR abs/2109.04026 (2021) - [i29]Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Risk-Averse Decision Making Under Uncertainty. CoRR abs/2109.04082 (2021) - [i28]Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames:
Interactive multi-modal motion planning with Branch Model Predictive Control. CoRR abs/2109.05128 (2021) - [i27]Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames:
Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. CoRR abs/2110.01002 (2021) - [i26]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 abs/2112.07746 (2021) - 2020
- [j5]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): 3612-3619 (2020) - [j4]Ugo Rosolia, Francesco Borrelli:
Learning How to Autonomously Race a Car: A Predictive Control Approach. IEEE Trans. Control. Syst. Technol. 28(6): 2713-2719 (2020) - [c13]Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli:
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CDC 2020: 2258-2263 - [c12]Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli:
Distributed Learning Model Predictive Control for Linear Systems. CDC 2020: 4366-4373 - [c11]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: 6198-6203 - [c10]Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray:
Reactive motion planning with probabilisticsafety guarantees. CoRL 2020: 1958-1970 - [c9]Nicola Scianca, Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Periodic Repetitive Tasks. ECC 2020: 29-34 - [i25]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 abs/2003.01410 (2020) - [i24]Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli:
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CoRR abs/2004.01298 (2020) - [i23]Ugo Rosolia, Aaron D. Ames:
Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. CoRR abs/2004.01761 (2020) - [i22]Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli:
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CoRR abs/2004.03041 (2020) - [i21]Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli:
Output-Lifted Learning Model Predictive Control for Flat Systems. CoRR abs/2004.05173 (2020) - [i20]Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli:
Distributed Learning Model Predictive Control for Linear Systems. CoRR abs/2006.13406 (2020) - [i19]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 abs/2007.00930 (2020) - [i18]Prithvi Akella, Ugo Rosolia, Andrew Singletary, Aaron D. Ames:
Formal Verification of Safety Critical Autonomous Systems via Bayesian Optimization. CoRR abs/2009.12909 (2020) - [i17]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 abs/2010.15153 (2020) - [i16]Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray:
Reactive motion planning with probabilistic safety guarantees. CoRR abs/2011.03590 (2020) - [i15]Yuxiao Chen, Ugo Rosolia, Aaron D. Ames:
Decentralized Task and Path Planning for Multi-Robot Systems. CoRR abs/2011.10034 (2020) - [i14]Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Constrained Risk-Averse Markov Decision Processes. CoRR abs/2012.02423 (2020) - [i13]Ugo Rosolia, Andrew Singletary, Aaron D. Ames:
Unified Multi-Rate Control: from Low Level Actuation to High Level Planning. CoRR abs/2012.06558 (2020)
2010 – 2019
- 2019
- [c8]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Simple Policy Evaluation for Data-Rich Iterative Tasks. ACC 2019: 2855-2860 - [c7]Ugo Rosolia, Francesco Borrelli:
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CDC 2019: 2702-2707 - [i12]Ugo Rosolia, Francesco Borrelli:
Learning How to Autonomously Race a Car: a Predictive Control Approach. CoRR abs/1901.08184 (2019) - [i11]Ugo Rosolia, Francesco Borrelli:
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CoRR abs/1904.06432 (2019) - [i10]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 abs/1905.13402 (2019) - [i9]Nicola Scianca, Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Periodic Repetitive Tasks. CoRR abs/1911.07535 (2019) - [i8]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model Predictive Control for Linear Systems. CoRR abs/1911.09234 (2019) - [i7]Ugo Rosolia, Francesco Borrelli:
Minimum Time Learning Model Predictive Control. CoRR abs/1911.09239 (2019) - 2018
- [j3]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Data-Driven Predictive Control for Autonomous Systems. Annu. Rev. Control. Robotics Auton. Syst. 1: 259-286 (2018) - [j2]Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework. IEEE Trans. Autom. Control. 63(7): 1883-1896 (2018) - [c6]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
A Stochastic MPC Approach with Application to Iterative Learning. CDC 2018: 5152-5157 - [c5]Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli:
Adaptive MPC for Iterative Tasks. CDC 2018: 6322-6327 - [i6]Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli:
Adaptive MPC for Iterative Tasks. CoRR abs/1804.09831 (2018) - [i5]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Simple Policy Evaluation for Data-Rich Iterative Tasks. CoRR abs/1810.06764 (2018) - 2017
- [j1]Ugo Rosolia, Stijn De Bruyne, Andrew G. Alleyne:
Autonomous Vehicle Control: A Nonconvex Approach for Obstacle Avoidance. IEEE Trans. Control. Syst. Technol. 25(2): 469-484 (2017) - [c4]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: 3367-3372 - [c3]Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli:
Autonomous racing using learning Model Predictive Control. ACC 2017: 5115-5120 - [c2]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust learning model predictive control for iterative tasks: Learning from experience. CDC 2017: 1157-1162 - [c1]Maximilian Brunner, Ugo Rosolia, Jon Gonzales, Francesco Borrelli:
Repetitive learning model predictive control: An autonomous racing example. CDC 2017: 2545-2550 - [i4]Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Iterative Tasks: A Computationally Efficient Approach for Linear System. CoRR abs/1702.07064 (2017) - [i3]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 abs/1702.07934 (2017) - 2016
- [i2]Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Iterative Tasks. CoRR abs/1609.01387 (2016) - [i1]Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli:
Autonomous Racing using Learning Model Predictive Control. CoRR abs/1610.06534 (2016)
Coauthor Index
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last updated on 2024-10-01 21:44 CEST by the dblp team
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