Ugo Rosolia
Ugo Rosolia
PostDoc at Caltech
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Learning model predictive control for iterative tasks. A Data-Driven Control Framework
U Rosolia, F Borrelli
IEEE Transactions on Automatic Control, 2017
1432017
Autonomous Vehicle Control: A Nonconvex Approach for Obstacle Avoidance
U Rosolia, S De Bruyne, AG Alleyne
IEEE Transactions on Control Systems Technology, 1-16, 2016
1052016
Autonomous racing using learning model predictive control
U Rosolia, A Carvalho, F Borrelli
2017 American Control Conference (ACC), 5115-5120, 2017
692017
Safety augmented value estimation from demonstrations (saved): Safe deep model-based rl for sparse cost robotic tasks
B Thananjeyan, A Balakrishna, U Rosolia, F Li, R McAllister, JE Gonzalez, ...
IEEE Robotics and Automation Letters 5 (2), 3612-3619, 2020
402020
Learning how to autonomously race a car: a predictive control approach
U Rosolia, F Borrelli
IEEE Transactions on Control Systems Technology 28 (6), 2713-2719, 2019
372019
Data-driven predictive control for autonomous systems
U Rosolia, X Zhang, F Borrelli
Annual Review of Control, Robotics, and Autonomous Systems 1, 259-286, 2018
342018
Repetitive learning model predictive control: An autonomous racing example
M Brunner, U Rosolia, J Gonzales, F Borrelli
2017 IEEE 56th annual conference on decision and control (CDC), 2545-2550, 2017
322017
Learning model predictive control for iterative tasks: A computationally efficient approach for linear system
U Rosolia, F Borrelli
IFAC-PapersOnLine 50 (1), 3142-3147, 2017
322017
Adaptive MPC for iterative tasks
M Bujarbaruah, X Zhang, U Rosolia, F Borrelli
2018 IEEE Conference on Decision and Control (CDC), 6322-6327, 2018
282018
Autonomous racing using linear parameter varying-model predictive control (lpv-mpc)
E Alcalá, V Puig, J Quevedo, U Rosolia
Control Engineering Practice 95, 104270, 2020
192020
Robust learning model predictive control for iterative tasks: Learning from experience
U Rosolia, X Zhang, F Borrelli
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1157-1162, 2017
192017
Sample-based learning model predictive control for linear uncertain systems
U Rosolia, F Borrelli
2019 IEEE 58th Conference on Decision and Control (CDC), 2702-2707, 2019
162019
Multi-rate control design leveraging control barrier functions and model predictive control policies
U Rosolia, AD Ames
IEEE Control Systems Letters 5 (3), 1007-1012, 2020
102020
Nlmpc for real time path following and collision avoidance
U Rosolia, F Braghin, A Alleyne, E Sabbioni
SAE International Journal of Passenger Cars-Electronic and Electrical …, 2015
9*2015
A stochastic MPC approach with application to iterative learning
U Rosolia, X Zhang, F Borrelli
2018 IEEE Conference on Decision and Control (CDC), 5152-5157, 2018
62018
Constrained risk-averse Markov decision processes
M Ahmadi, U Rosolia, MD Ingham, RM Murray, AD Ames
The 35th AAAI Conference on Artificial Intelligence (AAAI-21), 2021
52021
Abc-lmpc: Safe sample-based learning mpc for stochastic nonlinear dynamical systems with adjustable boundary conditions
B Thananjeyan, A Balakrishna, U Rosolia, JE Gonzalez, A Ames, ...
Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth …, 2021
42021
Control of unknown nonlinear systems with linear time-varying MPC
D Papadimitriou, U Rosolia, F Borrelli
2020 59th IEEE Conference on Decision and Control (CDC), 2258-2263, 2020
42020
Unified multi-rate control: from low level actuation to high level planning
U Rosolia, A Singletary, AD Ames
arXiv preprint arXiv:2012.06558, 2020
42020
A Robust Scenario MPC Approach for Uncertain Multi-modal Obstacles
I Batkovic, U Rosolia, M Zanon, P Falcone
IEEE Control Systems Letters 5 (3), 947-952, 2020
42020
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Articles 1–20