Nathan Ratliff
Title
Cited by
Cited by
Year
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
7562009
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 2006
6952006
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
5012009
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
4892013
Learning to search: structured prediction techniques for imitation learning
ND Ratliff
Carnegie Mellon University, 2009
266*2009
Learning to search: Functional gradient techniques for imitation learning
ND Ratliff, D Silver, JA Bagnell
Autonomous Robots 27 (1), 25-53, 2009
2422009
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
2252019
Boosting structured prediction for imitation learning
N Ratliff, D Bradley, JA Bagnell, J Chestnutt
Carnegie Mellon University, 2007
1732007
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
Imitation learning for locomotion and manipulation
N Ratliff, JA Bagnell, SS Srinivasa
2007 7th IEEE-RAS International Conference on Humanoid Robots, 392-397, 2007
1112007
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
1102011
(Approximate) Subgradient Methods for Structured Prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
1032007
(Approximate) Subgradient Methods for Structured Prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
1032007
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
742011
Subgradient methods for maximum margin structured learning
N Ratliff, JA Bagnell, M Zinkevich
ICML workshop on learning in structured output spaces 46, 2006
562006
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
532018
Inverse optimal heuristic control for imitation learning
N Ratliff, B Ziebart, K Peterson, JA Bagnell, M Hebert, AK Dey, S Srinivasa
Artificial Intelligence and Statistics, 424-431, 2009
502009
Riemannian motion policies
ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox
arXiv preprint arXiv:1801.02854, 2018
452018
Understanding the geometry of workspace obstacles in motion optimization
N Ratliff, M Toussaint, S Schaal
2015 IEEE International Conference on Robotics and Automation (ICRA), 4202-4209, 2015
452015
Direct Loss Minimization Inverse Optimal Control.
A Doerr, ND Ratliff, J Bohg, M Toussaint, S Schaal
Robotics: Science and systems, 2015
402015
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