| Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics J Mahler, J Liang, S Niyaz, M Laskey, R Doan, X Liu, JA Ojea, K Goldberg arXiv preprint arXiv:1703.09312, 2017 | 1370 | 2017 |
| Learning ambidextrous robot grasping policies J Mahler, M Matl, V Satish, M Danielczuk, B DeRose, S McKinley, ... Science Robotics 4 (26), eaau4984, 2019 | 599 | 2019 |
| Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards J Mahler, FT Pokorny, B Hou, M Roderick, M Laskey, M Aubry, K Kohlhoff, ... 2016 IEEE International Conference on Robotics and Automation (ICRA), 1957-1964, 2016 | 441 | 2016 |
| 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 IEEE International Conference on Robotics and Automation, 2018 | 395 | 2018 |
| Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences J Mahler, K Goldberg Conference on Robot Learning, 515-524, 2017 | 240 | 2017 |
| 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 | 221 | 2019 |
| Autonomous multilateral debridement with the raven surgical robot B Kehoe, G Kahn, J Mahler, J Kim, A Lee, A Lee, K Nakagawa, S Patil, ... Robotics and Automation (ICRA), 2014 IEEE International Conference on, 1432-1439, 2014 | 153 | 2014 |
| On-policy dataset synthesis for learning robot grasping policies using fully convolutional deep networks V Satish, J Mahler, K Goldberg IEEE Robotics and Automation Letters 4 (2), 1357-1364, 2019 | 144 | 2019 |
| Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian process regression J Mahler, S Krishnan, M Laskey, S Sen, A Murali, B Kehoe, S Patil, ... Automation Science and Engineering (CASE), 2014 IEEE International …, 2014 | 96 | 2014 |
| SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces M Laskey, S Staszak, WYS Hsieh, J Mahler, FT Pokorny, AD Dragan, ... | 95* | |
| Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations M Laskey, C Chuck, J Lee, J Mahler, S Krishnan, K Jamieson, A Dragan, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 358-365, 2017 | 87 | 2017 |
| GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming J Mahler, S Patil, B Kehoe, J van den Berg, M Ciocarlie, P Abbeel, ... Robotics and Automation (ICRA), 2015 IEEE International Conference on, 4919-4926, 2015 | 80 | 2015 |
| Linear Push Policies to Increase Grasp Access for Robot Bin Picking M Danielczuk, J Mahler, C Correa, K Goldberg 2018 IEEE 14th International Conference on Automation Science and …, 2018 | 72 | 2018 |
| Design of parallel-jaw gripper tip surfaces for robust grasping M Guo, DV Gealy, J Liang, J Mahler, A Goncalves, S McKinley, JA Ojea, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 2831-2838, 2017 | 62 | 2017 |
| Multi-armed bandit models for 2D grasp planning with uncertainty M Laskey, J Mahler, Z McCarthy, FT Pokorny, S Patil, J van den Berg, ... Automation Science and Engineering (CASE), 2015 IEEE International …, 2015 | 62 | 2015 |
| Budgeted Multi-Armed Bandit Models for Sample-Based Grasp Planning in the Presence of Uncertainty M Laskey, Z McCarthy, J Mahler, FT Pokorny, S Patil, J Van Den Berg, ... | 62* | |
| Energy-Bounded Caging: Formal Definition and 2D Energy Lower Bound Algorithm Based on Weighted Alpha Shapes J Mahler, FT Pokorny, Z McCarthy, AF van der Stappen, K Goldberg | 56* | |
| 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 | 44 | 2017 |
| Adversarial Grasp Objects D Wang, D Tseng, P Li, Y Jiang, M Guo, M Danielczuk, J Mahler, ... 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 33 | 2019 |
| Using dvrk teleoperation to facilitate deep learning of automation tasks for an industrial robot J Liang, J Mahler, M Laskey, P Li, K Goldberg 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 1-8, 2017 | 33 | 2017 |
Ken GoldbergProfessor, UC Berkeley and UCSFBestätigte E-Mail-Adresse bei berkeley.edu
