Nathan Ratliff
Cited by
Cited by
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
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 2006
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
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
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
Learning to search: Structured prediction techniques for imitation learning
ND Ratliff
Carnegie Mellon University, 2009
Boosting structured prediction for imitation learning
J Bagnell, J Chestnutt, D Bradley, N Ratliff
Advances in Neural Information Processing Systems 19, 2006
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
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
Riemannian motion policies
ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox
arXiv preprint arXiv:1801.02854, 2018
Imitation learning for locomotion and manipulation
N Ratliff, JA Bagnell, SS Srinivasa
2007 7th IEEE-RAS international conference on humanoid robots, 392-397, 2007
Bispace planning: Concurrent multi-space exploration
R Diankov, N Ratliff, D Ferguson, S Srinivasa, J Kuffner
(Approximate) Subgradient methods for structured prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
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
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
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
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
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
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
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
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