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Ugo Rosolia
Ugo Rosolia
Senior Research Scientist, Manager at Amazon
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
3672017
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
2002016
Autonomous vehicles on the edge: A survey on autonomous vehicle racing
J Betz, H Zheng, A Liniger, U Rosolia, P Karle, M Behl, V Krovi, ...
IEEE Open Journal of Intelligent Transportation Systems 3, 458-488, 2022
1522022
Autonomous racing using learning model predictive control
U Rosolia, A Carvalho, F Borrelli
2017 American control conference (ACC), 5115-5120, 2017
1442017
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
1282019
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
1032020
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
972020
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
952018
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
662017
Adaptive MPC for iterative tasks
M Bujarbaruah, X Zhang, U Rosolia, F Borrelli
2018 IEEE Conference on Decision and Control (CDC), 6322-6327, 2018
642018
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
612017
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
512020
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
462020
Interactive multi-modal motion planning with branch model predictive control
Y Chen, U Rosolia, W Ubellacker, N Csomay-Shanklin, AD Ames
IEEE Robotics and Automation Letters 7 (2), 5365-5372, 2022
442022
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
362019
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
332017
Unified multirate control: From low-level actuation to high-level planning
U Rosolia, A Singletary, AD Ames
IEEE Transactions on Automatic Control 67 (12), 6627-6640, 2022
312022
Decentralized task and path planning for multi-robot systems
Y Chen, U Rosolia, AD Ames
IEEE Robotics and Automation Letters 6 (3), 4337-4344, 2021
312021
A simple robust MPC for linear systems with parametric and additive uncertainty
M Bujarbaruah, U Rosolia, YR Stürz, F Borrelli
2021 American Control Conference (ACC), 2108-2113, 2021
292021
Constrained risk-averse Markov decision processes
M Ahmadi, U Rosolia, MD Ingham, RM Murray, AD Ames
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11718 …, 2021
282021
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