Jeffrey Mahler
TitleCited byYear
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
2652017
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
1412016
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
732014
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
69*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
512014
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences
J Mahler, K Goldberg
Conference on Robot Learning, 515-524, 2017
452017
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, ...
42*
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
412015
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
382017
Learning ambidextrous robot grasping policies
J Mahler, M Matl, V Satish, M Danielczuk, B DeRose, S McKinley, ...
Science Robotics 4 (26), eaau4984, 2019
332019
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
282015
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
24*
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
162017
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
142019
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
132017
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
112018
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
102017
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
92017
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
82016
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
72019
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Articles 1–20