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Nathan Ratliff
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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
9662009
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 2006
8222006
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
6622013
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
6032009
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
4222019
Learning to search: Structured prediction techniques for imitation learning
ND Ratliff
Carnegie Mellon University, 2009
299*2009
Learning to search: Functional gradient techniques for imitation learning
ND Ratliff, D Silver, JA Bagnell
Autonomous Robots 27, 25-53, 2009
2712009
Boosting structured prediction for imitation learning
J Bagnell, J Chestnutt, D Bradley, N Ratliff
Advances in Neural Information Processing Systems 19, 2006
1972006
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
1382011
Imitation learning for locomotion and manipulation
N Ratliff, JA Bagnell, SS Srinivasa
2007 7th IEEE-RAS International Conference on Humanoid Robots, 392-397, 2007
1362007
Bispace planning: Concurrent multi-space exploration
R Diankov, N Ratliff, D Ferguson, S Srinivasa, J Kuffner
Proceedings of robotics: Science and systems IV 63, 2008
1352008
Riemannian motion policies
ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox
arXiv preprint arXiv:1801.02854, 2018
1042018
(Approximate) Subgradient methods for structured prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
1012007
(Approximate) Subgradient methods for structured prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
1012007
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
882020
Real-time perception meets reactive motion generation
D Kappler, F Meier, J Issac, J Mainprice, CG Cifuentes, M WŁthrich, ...
IEEE Robotics and Automation Letters 3 (3), 1864-1871, 2018
812018
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
812011
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
652020
Subgradient methods for maximum margin structured learning
N Ratliff, JA Bagnell, M Zinkevich
ICML workshop on learning in structured output spaces 46, 2006
592006
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
522019
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