| Information theoretic MPC for model-based reinforcement learning G Williams, N Wagener, B Goldfain, P Drews, JM Rehg, B Boots, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 1714-1721, 2017 | 558 | 2017 |
| Aggressive driving with model predictive path integral control G Williams, P Drews, B Goldfain, JM Rehg, EA Theodorou 2016 IEEE International Conference on Robotics and Automation (ICRA), 1433-1440, 2016 | 412 | 2016 |
| Information-theoretic model predictive control: Theory and applications to autonomous driving G Williams, P Drews, B Goldfain, JM Rehg, EA Theodorou IEEE Transactions on Robotics 34 (6), 1603-1622, 2018 | 234 | 2018 |
| Autorally: An open platform for aggressive autonomous driving B Goldfain, P Drews, C You, M Barulic, O Velev, P Tsiotras, JM Rehg IEEE Control Systems Magazine 39 (1), 26-55, 2019 | 125 | 2019 |
| Aggressive deep driving: Combining convolutional neural networks and model predictive control P Drews, G Williams, B Goldfain, EA Theodorou, JM Rehg Conference on Robot Learning, 133-142, 2017 | 74 | 2017 |
| Robust Sampling Based Model Predictive Control with Sparse Objective Information. G Williams, B Goldfain, P Drews, K Saigol, JM Rehg, EA Theodorou Robotics: Science and Systems 14, 2018, 2018 | 58 | 2018 |
| Vision-based high-speed driving with a deep dynamic observer P Drews, G Williams, B Goldfain, EA Theodorou, JM Rehg IEEE Robotics and Automation Letters 4 (2), 1564-1571, 2019 | 53 | 2019 |
| Best response model predictive control for agile interactions between autonomous ground vehicles G Williams, B Goldfain, P Drews, JM Rehg, EA Theodorou 2018 IEEE International Conference on Robotics and Automation (ICRA), 2403-2410, 2018 | 53 | 2018 |
| Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs: Laboratory and prospective observational studies BN Walker, JM Rehg, A Kalra, RM Winters, P Drews, J Dascalu, EO David, ... EBioMedicine 40, 176-183, 2019 | 48 | 2019 |
| Aggressive deep driving: Model predictive control with a cnn cost model P Drews, G Williams, B Goldfain, EA Theodorou, JM Rehg arXiv preprint arXiv:1707.05303, 2017 | 41 | 2017 |
| Autonomous racing with autorally vehicles and differential games G Williams, B Goldfain, P Drews, JM Rehg, EA Theodorou arXiv preprint arXiv:1707.04540, 2017 | 30 | 2017 |
| Autonomous vehicle research system B Goldfain, P Drews, J Rehg, E Theodorou, P Tsiotras, G Williams US Patent 10,296,003, 2019 | 12 | 2019 |
| Towards autonomous lakeshore monitoring S Griffith, P Drews, C Pradalier Experimental Robotics: The 14th International Symposium on Experimental …, 2016 | 10 | 2016 |
| NASA summer robotics interns perform simulation of robotics technology K Fernandez, R Fischer, A Mobasher, P Drews, M Grady, R Rucker, ... 2009 Annual Conference & Exposition, 14.899. 1-14.899. 10, 2009 | 6 | 2009 |
| MPOGames: Efficient Multimodal Partially Observable Dynamic Games O So, P Drews, T Balch, V Dimitrov, G Rosman, EA Theodorou 2023 IEEE International Conference on Robotics and Automation (ICRA), 3189-3196, 2023 | 5 | 2023 |
| Information theoretic MPC using neural network dynamics G Williams, N Wagener, B Goldfain, P Drews, JM Rehg, B Boots, ... 30th Conference on Neural Information Processing Systems, 2016 | 5 | 2016 |
| Systems and methods for modeling pedestrian activity SG McGill, G Rosman, P Drews US Patent 11,904,854, 2024 | 4 | 2024 |
| Visual attention for high speed driving PM Drews Georgia Institute of Technology, 2018 | 2 | 2018 |
| Methods and systems of predicting road agent behavior using voxel grids SG McGill, P Drews, G Rosman US Patent 11,524,701, 2022 | 1 | 2022 |
| Curvilinear coordinate systems for predicting vehicle behavior SG McGill, G Rosman, P Drews US Patent 11,618,476, 2023 | | 2023 |
