| Learning ambidextrous robot grasping policies J Mahler, M Matl, V Satish, M Danielczuk, B DeRose, S McKinley, ... Science Robotics 4 (26), eaau4984, 2019 | 628 | 2019 |
| Dex-net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning J Mahler, M Matl, X Liu, A Li, D Gealy, K Goldberg 2018 IEEE International Conference on robotics and automation (ICRA), 5620-5627, 2018 | 403 | 2018 |
| OpenPiton: An open source manycore research framework J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ... ACM SIGPLAN Notices 51 (4), 217-232, 2016 | 289 | 2016 |
| Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic data M Danielczuk, M Matl, S Gupta, A Li, A Lee, J Mahler, K Goldberg 2019 International Conference on Robotics and Automation (ICRA), 7283-7290, 2019 | 225 | 2019 |
| Mechanical search: Multi-step retrieval of a target object occluded by clutter M Danielczuk, A Kurenkov, A Balakrishna, M Matl, D Wang, ... 2019 International Conference on Robotics and Automation (ICRA), 1614-1621, 2019 | 136 | 2019 |
| A cloud robot system using the dexterity network and berkeley robotics and automation as a service (brass) N Tian, M Matl, J Mahler, YX Zhou, S Staszak, C Correa, S Zheng, Q Li, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 1615-1622, 2017 | 45 | 2017 |
| Guest editorial open discussion of robot grasping benchmarks, protocols, and metrics J Mahler, R Platt, A Rodriguez, M Ciocarlie, A Dollar, R Detry, MA Roa, ... IEEE Transactions on Automation Science and Engineering 15 (4), 1440-1442, 2018 | 33 | 2018 |
| Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic point clouds M Danielczuk, M Matl, S Gupta, A Li, A Lee, J Mahler, K Goldberg arXiv preprint arXiv:1809.05825 16, 2018 | 27 | 2018 |
| Reach: Reducing false negatives in robot grasp planning with a robust efficient area contact hypothesis model M Danielczuk, J Xu, J Mahler, M Matl, N Chentanez, K Goldberg The International Symposium of Robotics Research, 757-772, 2019 | 20 | 2019 |
| Robotic systems and methods for robustly grasping and targeting objects KY Goldberg, JB Mahler, M Matl US Patent 11,446,816, 2022 | 12 | 2022 |
| System and method for a dynamic robotic kitting line M Matl, D Gealy, J Mahler, A Smith, S Mckinley US Patent App. 17/404,748, 2022 | 11 | 2022 |
| OpenPiton: an open source hardware platform for your research J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ... Communications of the ACM 62 (12), 79-87, 2019 | 10 | 2019 |
| Learning Robotic Grasping Policies for Suction Cups and Parallel Jaws in Simulation M Matl, R Bajcsy, K Goldberg Electrical Engineering and Computer Sciences University of California at …, 2019 | 4 | 2019 |
| An algorithm for transferring parallel-jaw grasps between 3D mesh subsegments M Matl, J Mahler, K Goldberg 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 756-763, 2017 | 4 | 2017 |
| System and method for robotic horizontal sortation D Gealy, S Mckinley, M Matl, J Mahler, A Smith US Patent App. 17/468,220, 2022 | 3 | 2022 |
| OpenPit J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ... | 2 | 2016 |
| Robotic package handling systems and methods M Matl, D Gealy, S Mckinley, J Mahler US Patent App. 17/827,655, 2023 | 1 | 2023 |
| ROBOTIC SYSTEMS AND ROBUST OBJECT GRIPPING AND TARGETING PROCESSES KY Goldberg, JB MAHLER, M Matthew | | 2021 |
| ROBOTIC SYSTEMS AND METHODS FOR ROBUST STITCHING AND TARGETING OF OBJECTS KY GOLDBERG, JB MAHLER, M Matthew | | 2019 |
| Linux Support for Memory Traffic Shaping M Matl | | 2016 |
Ken GoldbergProfessor, UC Berkeley and UCSFAdresse e-mail validée de berkeley.edu