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 | 679 | 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 | 559 | 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 | 331 | 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 | 147 | 2019 |
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 | 80 | 2018 |
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 | 80 | 2017 |
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 | 64 | 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 | 61 | 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 | 57 | 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 | 48 | 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 | 34 | 2017 |
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 | 11 | 2023 |
Towards autonomous lakeshore monitoring S Griffith, P Drews, C Pradalier Experimental Robotics: The 14th International Symposium on Experimental …, 2016 | 9 | 2016 |
Systems and methods for modeling pedestrian activity SG McGill, G Rosman, P Drews US Patent 11,904,854, 2024 | 7 | 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 | 6 | 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 | 6 | 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 |
Systems and methods for optimizing coordination and communication resources between vehicles using models G Rosman, SG McGill, P Drews US Patent App. 17/882,973, 2024 | 2 | 2024 |
Methods and systems of predicting road agent behavior using voxel grids SG McGill, P Drews, G Rosman US Patent 11,524,701, 2022 | 2 | 2022 |
Visual attention for high speed driving PM Drews Georgia Institute of Technology, 2018 | 2 | 2018 |