|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
|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
|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
|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
|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
|Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences|
J Mahler, K Goldberg
Conference on Robot Learning, 515-524, 2017
|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, ...
|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
|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
|Learning ambidextrous robot grasping policies|
J Mahler, M Matl, V Satish, M Danielczuk, B DeRose, S McKinley, ...
Science Robotics 4 (26), eaau4984, 2019
|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
|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
|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
|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
|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
|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
|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
|Iterative Noise Injection for Scalable Imitation Learning|
M Laskey, J Lee, W Hsieh, R Liaw, J Mahler, R Fox, K Goldberg
arXiv preprint arXiv:1703.09327, 2017
|Large-scale supervised learning of the grasp robustness of surface patch pairs|
D Seita, FT Pokorny, J Mahler, D Kragic, M Franklin, J Canny, K Goldberg
Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), IEEE …, 2016
|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