| 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation A Mousavian, C Eppner, D Fox Proceedings of the IEEE International Conference on Computer Vision, 2901-2910, 2019 | 456 | 2019 |
| Lessons from the amazon picking challenge: Four aspects of building robotic systems. C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ... Robotics: science and systems, 4831-4835, 2016 | 231 | 2016 |
| Exploitation of Environmental Constraints in Human and Robotic Grasping C Eppner, R Deimel, J Álvarez-Ruiz, M Maertens, O Brock The International Journal of Robotics Research 34 (7), 1021-1038, 2015 | 193 | 2015 |
| Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstrations A Gupta, C Eppner, S Levine, P Abbeel Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016 | 186 | 2016 |
| 6-DOF Grasping for Target-Driven Object Manipulation in Clutter A Murali, A Mousavian, C Eppner, C Paxton, D Fox arXiv preprint arXiv:1912.03628, 2019 | 182 | 2019 |
| Self-supervised 6d object pose estimation for robot manipulation X Deng, Y Xiang, A Mousavian, C Eppner, T Bretl, D Fox 2020 IEEE International Conference on Robotics and Automation (ICRA), 3665-3671, 2020 | 150 | 2020 |
| The Humanoid Museum Tour Guide Robotinho F Faber, M Bennewitz, C Eppner, A Gorog, C Gonsior, D Joho, ... Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE …, 2009 | 145 | 2009 |
| ACRONYM: A large-scale grasp dataset based on simulation C Eppner, A Mousavian, D Fox 2021 IEEE International Conference on Robotics and Automation (ICRA), 6222-6227, 2021 | 112 | 2021 |
| Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge R Jonschkowski, C Eppner, S Höfer, R Martín-Martín, O Brock Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016 | 76 | 2016 |
| Object rearrangement using learned implicit collision functions M Danielczuk, A Mousavian, C Eppner, D Fox 2021 IEEE International Conference on Robotics and Automation (ICRA), 6010-6017, 2021 | 71 | 2021 |
| Combining Model-Based Policy Search with Online Model Learning for Control of Physical Humanoids I Mordatch, N Mishra, C Eppner, P Abbeel Robotics and Automation (ICRA), 2016 IEEE International Conference on, 242-248, 2016 | 68 | 2016 |
| Grasping Unknown Objects by Exploiting Shape Adaptability and Environmental Constraints C Eppner, O Brock Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013 | 64 | 2013 |
| A billion ways to grasp: An evaluation of grasp sampling schemes on a dense, physics-based grasp data set C Eppner, A Mousavian, D Fox The International Symposium of Robotics Research, 890-905, 2019 | 58 | 2019 |
| Planning Grasp Strategies That Exploit Environmental Constraints C Eppner, O Brock Robotics and Automation (ICRA), 2015 IEEE International Conference on, 4947 …, 2015 | 58 | 2015 |
| 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 | 53 | 2019 |
| Exploitation of environmental constraints in human and robotic grasping R Deimel, C Eppner, J Alvarez-Ruiz, M Maertens, O Brock Robotics Research: The 16th International Symposium ISRR, 393-409, 2016 | 50 | 2016 |
| Imitation Learning with Generalized Task Descriptions C Eppner, J Sturm, M Bennewitz, C Stachniss, W Burgard Robotics and Automation, 2009. ICRA'09. IEEE International Conference on …, 2009 | 49 | 2009 |
| Deep learning approaches to grasp synthesis: A review R Newbury, M Gu, L Chumbley, A Mousavian, C Eppner, J Leitner, J Bohg, ... IEEE Transactions on Robotics, 2023 | 42 | 2023 |
| A Taxonomy of Human Grasping Behavior Suitable for Transfer to Robotic Hands F Heinemann, S Puhlmann, C Eppner, J Élvarez-Ruiz, M Maertens, ... Robotics and Automation (ICRA), 2015 IEEE International Conference on, 4286-4291, 2015 | 32 | 2015 |
| Grasp generation using a variational autoencoder A Mousavian, C Eppner, D Fox US Patent 11,701,771, 2023 | 30 | 2023 |
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
