Követés
Paul Drews
Paul Drews
Researcher, TRI
E-mail megerősítve itt: tri.global
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
6792017
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
5592016
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
3312018
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
1472019
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
802018
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
802017
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
642019
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
612018
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
572019
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
482017
Autonomous racing with autorally vehicles and differential games
G Williams, B Goldfain, P Drews, JM Rehg, EA Theodorou
arXiv preprint arXiv:1707.04540, 2017
342017
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
112023
Towards autonomous lakeshore monitoring
S Griffith, P Drews, C Pradalier
Experimental Robotics: The 14th International Symposium on Experimental …, 2016
92016
Systems and methods for modeling pedestrian activity
SG McGill, G Rosman, P Drews
US Patent 11,904,854, 2024
72024
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
62023
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
62016
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
62009
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
22024
Methods and systems of predicting road agent behavior using voxel grids
SG McGill, P Drews, G Rosman
US Patent 11,524,701, 2022
22022
Visual attention for high speed driving
PM Drews
Georgia Institute of Technology, 2018
22018
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Cikkek 1–20