| Learning model predictive control for iterative tasks. A Data-Driven Control Framework U Rosolia, F Borrelli IEEE Transactions on Automatic Control, 2017 | 265 | 2017 |
| 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 | 158 | 2016 |
| Autonomous racing using learning model predictive control U Rosolia, A Carvalho, F Borrelli 2017 American Control Conference (ACC), 5115-5120, 2017 | 119 | 2017 |
| 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 | 93 | 2020 |
| 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 | 80 | 2019 |
| 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 | 65 | 2018 |
| 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 | 59 | 2020 |
| 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 | 56 | 2017 |
| 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 | 51 | 2017 |
| Adaptive MPC for iterative tasks M Bujarbaruah, X Zhang, U Rosolia, F Borrelli 2018 IEEE Conference on Decision and Control (CDC), 6322-6327, 2018 | 49 | 2018 |
| 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 | 37 | 2022 |
| 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 | 34 | 2019 |
| 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 | 32 | 2017 |
| 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 | 26 | 2020 |
| 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 | 26 | 2020 |
| 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 | 17 | 2021 |
| 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 | 15 | 2021 |
| 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 | 15 | 2018 |
| 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 | 14 | 2022 |
| 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 | 12 | 2021 |
Francesco BorrelliProfessor of Controls, UC Berkeley, CAVerified email at berkeley.edu
