| Learning model predictive control for iterative tasks. A Data-Driven Control Framework U Rosolia, F Borrelli IEEE Transactions on Automatic Control, 2017 | 144 | 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 | 105 | 2016 |
| Autonomous racing using learning model predictive control U Rosolia, A Carvalho, F Borrelli 2017 American Control Conference (ACC), 5115-5120, 2017 | 70 | 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 | 41 | 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 | 38 | 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 | 34 | 2018 |
| 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 | 32 | 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 | 32 | 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 | 28 | 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 | 19 | 2020 |
| 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 | 19 | 2017 |
| 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 | 16 | 2019 |
| 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 | 10 | 2020 |
| 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 | 6 | 2018 |
| 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 | 5 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2020 |
| Unified multi-rate control: from low level actuation to high level planning U Rosolia, A Singletary, AD Ames arXiv preprint arXiv:2012.06558, 2020 | 4 | 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 | 4 | 2020 |
Francesco BorrelliProfessor of Controls, UC Berkeley, CAVerified email at berkeley.edu
