| A parallel autonomy research platform F Naser, D Dorhout, S Proulx, SD Pendleton, H Andersen, W Schwarting, ... 2017 IEEE Intelligent Vehicles Symposium (IV), 933-940, 2017 | 33 | 2017 |
| Automatic labeling and learning of driver yield intention S Gupta, PA Martinek, W Schwarting, JS Hardy, BW Mairs US Patent 9,443,153, 2016 | 25 | 2016 |
| Autonomous navigation in a cluttered environment D Rus, S Karaman, W Schwarting, A Gandhi, CI Vasile, A Pierson US Patent 11,808,590, 2023 | | 2023 |
| Compositional and contract-based verification for autonomous driving on road networks L Liebenwein, W Schwarting, CI Vasile, J DeCastro, J Alonso-Mora, ... Robotics Research: The 18th International Symposium ISRR, 163-181, 2020 | 23 | 2020 |
| Deep Evidential Regression A Amini, W Schwarting, A Soleimany, D Rus Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 411 | 2020 |
| Deep interactive motion prediction and planning: Playing games with motion prediction models JLV Espinoza, A Liniger, W Schwarting, D Rus, L Van Gool Learning for Dynamics and Control Conference, 1006-1019, 2022 | 43* | 2022 |
| Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space W Schwarting*, T Seyde*, I Gilitschenski*, L Liebenwein, R Sander, ... Conference on Robot Learning (CoRL), 2020 | 37 | 2020 |
| Deep Orientation Uncertainty Learning based on a Bingham Loss I Gilitschenski, R Sahoo, W Schwarting, A Amini, S Karaman, D Rus International Conference on Learning Representations (ICLR), 2020 | 70 | 2020 |
| Detection of AQM on Paths using Machine Learning Methods C Baykal, W Schwarting, A Wallar arXiv preprint arXiv:1707.02386, 2017 | 3 | 2017 |
| Do no harm: A counterfactual approach to safe reinforcement learning S Vaskov, W Schwarting, C Baker 6th Annual Learning for Dynamics & Control Conference, 1675-1687, 2024 | | 2024 |
| Dynamic multi-team racing: Competitive driving on 1/10-th scale vehicles via learning in simulation P Werner, T Seyde, P Drews, TM Balch, I Gilitschenski, W Schwarting, ... 7th Annual Conference on Robot Learning, 2023 | 2 | 2023 |
| Dynamic risk density for autonomous navigation in cluttered environments without object detection A Pierson, CI Vasile, A Gandhi, W Schwarting, S Karaman, D Rus 2019 International Conference on Robotics and Automation (ICRA), 5807-5814, 2019 | 21 | 2019 |
| Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution T Seyde, P Werner, W Schwarting, M Wulfmeier, D Rus arXiv preprint arXiv:2404.04253, 2024 | 1 | 2024 |
| Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies T Seyde, I Gilitschenski, W Schwarting, B Stellato, M Riedmiller, ... Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 34 | 2021 |
| Joint multi-policy behavior estimation and receding-horizon trajectory planning for automated urban driving B Zhou, W Schwarting, D Rus, J Alonso-Mora 2018 IEEE International Conference on Robotics and Automation (ICRA), 2388-2394, 2018 | 46 | 2018 |
| Learning and control for interactions in mixed human-robot environments W Schwarting Massachusetts Institute of Technology, 2021 | 4 | 2021 |
| Learning Interactive Driving Policies via Data-driven Simulation TH Wang, A Amini, W Schwarting, I Gilitschenski, S Karaman, D Rus 2022 IEEE International Conference on Robotics and Automation (ICRA), 2022 | 20 | 2022 |
| Learning object grasping for soft robot hands C Choi, W Schwarting, J DelPreto, D Rus IEEE Robotics and Automation Letters 3 (3), 2370-2377, 2018 | 170 | 2018 |
| Learning risk level set parameters from data sets for safer driving A Pierson, W Schwarting, S Karaman, D Rus 2019 IEEE Intelligent Vehicles Symposium (IV), 273-280, 2019 | 25 | 2019 |
| Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles T Seyde*, W Schwarting*, S Karaman, D Rus 5th Annual Conference on Robot Learning (CoRL), 2021 | 9 | 2021 |
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
