| Learning quadrotor dynamics using neural network for flight control S Bansal, AK Akametalu, FJ Jiang, F Laine, CJ Tomlin 2016 IEEE 55th Conference on Decision and Control (CDC), 4653-4660, 2016 | 180 | 2016 |
| The Computation of Approximate Generalized Feedback Nash Equilibria F Laine, D Fridovich-Keil, CY Chiu, C Tomlin SIAM Journal on Optimization 33 (1), 294-318, 2023 | 44 | 2023 |
| Multi-hypothesis interactions in game-theoretic motion planning F Laine, D Fridovich-Keil, CY Chiu, C Tomlin 2021 IEEE International Conference on Robotics and Automation (ICRA), 8016-8023, 2021 | 22 | 2021 |
| Efficient computation of feedback control for equality-constrained LQR F Laine, C Tomlin 2019 International Conference on Robotics and Automation (ICRA), 6748-6754, 2019 | 20* | 2019 |
| Parallelizing lqr computation through endpoint-explicit riccati recursion F Laine, C Tomlin 2019 IEEE 58th Conference on Decision and Control (CDC), 1395-1402, 2019 | 15 | 2019 |
| Contingency games for multi-agent interaction L Peters, A Bajcsy, CY Chiu, D Fridovich-Keil, F Laine, L Ferranti, ... IEEE Robotics and Automation Letters, 2024 | 11 | 2024 |
| Ensuring safety for sampled data systems: An efficient algorithm for filtering potentially unsafe input signals IM Mitchell, J Yeh, FJ Laine, CJ Tomlin 2016 IEEE 55th Conference on Decision and Control (CDC), 7431-7438, 2016 | 10 | 2016 |
| Eyes-closed safety kernels: Safety for autonomous systems under loss of observability F Laine, CY Chiu, C Tomlin Proceedings of Robotics: Science and Systems 2020, 2020 | 8 | 2020 |
| Learning mixed strategies in trajectory games L Peters, D Fridovich-Keil, L Ferranti, C Stachniss, J Alonso-Mora, F Laine Proceedings of Robotics: Science and Systems 2022, 2022 | 7 | 2022 |
| Real-time funnel generation for restricted motion planning H Ravanbakhsh, F Laine, SA Seshia arXiv preprint arXiv:1911.01532, 2019 | 3 | 2019 |
| Progress and proposals: A case study of monocular depth estimation K Sarwari, F Laine, C Tomlin Master’s thesis, EECS Department, University of California, Berkeley 3 (7), 2021 | 2 | 2021 |
| Mathematical Program Networks F Laine arXiv preprint arXiv:2404.03767, 2024 | 1 | 2024 |
| Monte Carlo Optimization for Solving Multilevel Stackelberg Games P Koirala, F Laine arXiv preprint arXiv:2312.03282, 2023 | 1 | 2023 |
| Incorporating data uncertainty in object tracking algorithms A Muthali, F Laine, C Tomlin arXiv preprint arXiv:2109.10521, 2021 | 1 | 2021 |
| Decreasing Wages in Gig Economy: A Game Theoretic Explanation Using Mathematical Program Networks P Koirala, F Laine arXiv preprint arXiv:2404.10929, 2024 | | 2024 |
| Mixed Strategy Constraints in Continuous Games M Krusniak, F Laine arXiv preprint arXiv:2402.17874, 2024 | | 2024 |
| Does bilevel optimization result in more competitive racing behavior? A Cinar, F Laine arXiv preprint arXiv:2402.09548, 2024 | | 2024 |
| A trainable manifold for accurate approximation with ReLU Networks M Milkert, F Laine arXiv preprint arXiv:2311.18022, 2023 | | 2023 |
| QTOS: An Open-Source Quadruped Trajectory Optimization Stack A Skoutnev, A Cinar, P Sigdel, F Laine arXiv preprint arXiv:2309.09058, 2023 | | 2023 |
| EE291E/ME290S Lecture Notes 8. Optimal Control and Dynamic Games S Sastry, F Laine, C Tomlin | | 2021 |
