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Nathan Ratliff
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Año
CHOMP: Gradient optimization techniques for efficient motion planning
N Ratliff, M Zucker, JA Bagnell, S Srinivasa
2009 IEEE international conference on robotics and automation, 489-494, 2009
12142009
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 2006
9492006
Chomp: Covariant hamiltonian optimization for motion planning
M Zucker, N Ratliff, AD Dragan, M Pivtoraiko, M Klingensmith, CM Dellin, ...
The International journal of robotics research 32 (9-10), 1164-1193, 2013
8482013
Planning-based prediction for pedestrians
BD Ziebart, N Ratliff, G Gallagher, C Mertz, K Peterson, JA Bagnell, ...
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009
6792009
Closing the sim-to-real loop: Adapting simulation randomization with real world experience
Y Chebotar, A Handa, V Makoviychuk, M Macklin, J Issac, N Ratliff, D Fox
2019 International Conference on Robotics and Automation (ICRA), 8973-8979, 2019
6132019
Learning to search: Structured prediction techniques for imitation learning
ND Ratliff
Carnegie Mellon University, 2009
329*2009
Boosting structured prediction for imitation learning
J Bagnell, J Chestnutt, D Bradley, N Ratliff
Advances in Neural Information Processing Systems 19, 2006
2162006
Dexpilot: Vision-based teleoperation of dexterous robotic hand-arm system
A Handa, K Van Wyk, W Yang, J Liang, YW Chao, Q Wan, S Birchfield, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 9164-9170, 2020
1992020
Riemannian motion policies
ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox
arXiv preprint arXiv:1801.02854, 2018
1722018
Optimization and learning for rough terrain legged locomotion
M Zucker, N Ratliff, M Stolle, J Chestnutt, JA Bagnell, CG Atkeson, ...
The International Journal of Robotics Research 30 (2), 175-191, 2011
1652011
Imitation learning for locomotion and manipulation
N Ratliff, JA Bagnell, SS Srinivasa
2007 7th IEEE-RAS international conference on humanoid robots, 392-397, 2007
1522007
Bispace planning: Concurrent multi-space exploration
R Diankov, N Ratliff, D Ferguson, S Srinivasa, J Kuffner
1342009
Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation
M Bhardwaj, B Sundaralingam, A Mousavian, ND Ratliff, D Fox, F Ramos, ...
Conference on Robot Learning, 750-759, 2022
1162022
Real-time perception meets reactive motion generation
D Kappler, F Meier, J Issac, J Mainprice, CG Cifuentes, M Wüthrich, ...
IEEE Robotics and Automation Letters 3 (3), 1864-1871, 2018
1142018
(Approximate) Subgradient methods for structured prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
1012007
RMPflow: A Computational Graph for Automatic Motion Policy Generation
CA Cheng, M Mukadam, J Issac, S Birchfield, D Fox, B Boots, N Ratliff
Algorithmic Foundations of Robotics XIII: Proceedings of the 13th Workshop …, 2020
932020
Manipulation planning with goal sets using constrained trajectory optimization
AD Dragan, ND Ratliff, SS Srinivasa
2011 IEEE International Conference on Robotics and Automation, 4582-4588, 2011
932011
Representing robot task plans as robust logical-dynamical systems
C Paxton, N Ratliff, C Eppner, D Fox
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
762019
Guided uncertainty-aware policy optimization: Combining learning and model-based strategies for sample-efficient policy learning
MA Lee, C Florensa, J Tremblay, N Ratliff, A Garg, F Ramos, D Fox
2020 IEEE international conference on robotics and automation (ICRA), 7505-7512, 2020
692020
Robust learning of tactile force estimation through robot interaction
B Sundaralingam, AS Lambert, A Handa, B Boots, T Hermans, ...
2019 International Conference on Robotics and Automation (ICRA), 9035-9042, 2019
682019
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Artículos 1–20