| 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 | 1187 | 2009 |
| Maximum margin planning ND Ratliff, JA Bagnell, MA Zinkevich Proceedings of the 23rd international conference on Machine learning, 729-736, 2006 | 933 | 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 | 831 | 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 | 669 | 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 | 590 | 2019 |
| Learning to search: Structured prediction techniques for imitation learning ND Ratliff Carnegie Mellon University, 2009 | 326* | 2009 |
| Boosting structured prediction for imitation learning J Bagnell, J Chestnutt, D Bradley, N Ratliff Advances in Neural Information Processing Systems 19, 2006 | 214 | 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 | 190 | 2020 |
| Riemannian motion policies ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox arXiv preprint arXiv:1801.02854, 2018 | 167 | 2018 |
| 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 | 163 | 2011 |
| Imitation learning for locomotion and manipulation N Ratliff, JA Bagnell, SS Srinivasa 2007 7th IEEE-RAS international conference on humanoid robots, 392-397, 2007 | 149 | 2007 |
| Bispace planning: Concurrent multi-space exploration R Diankov, N Ratliff, D Ferguson, S Srinivasa, J Kuffner | 134 | 2009 |
| 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 | 108 | 2022 |
| 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 | 106 | 2018 |
| (Approximate) Subgradient methods for structured prediction ND Ratliff, JA Bagnell, MA Zinkevich Artificial Intelligence and Statistics, 380-387, 2007 | 101 | 2007 |
| 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 | 92 | 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 | 90 | 2020 |
| 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 | 72 | 2019 |
| 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 | 68 | 2020 |
| 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 | 66 | 2015 |
