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Jeffrey Mahler
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2020 – today
- 2021
- [j5]Michael C. Welle, Anastasiia Varava, Jeffrey Mahler, Ken Goldberg, Danica Kragic, Florian T. Pokorny:
Partial caging: a clearance-based definition, datasets, and deep learning. Auton. Robots 45(5): 647-664 (2021) - 2020
- [c28]Eugen Solowjow, Ines Ugalde, Yash Shahapurkar, Juan Aparicio, Jeffrey Mahler, Vishal Satish, Ken Goldberg, Heiko Claussen:
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC). CASE 2020: 97-103 - [c27]Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg:
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CASE 2020: 1141-1148 - [c26]Jingyi Xu, Michael Danielczuk, Jeffrey Ichnowski, Jeffrey Mahler, Eckehard G. Steinbach, Ken Goldberg:
Minimal Work: A Grasp Quality Metric for Deformable Hollow Objects. ICRA 2020: 1546-1552 - [i8]Eugen Solowjow, Ines Ugalde, Yash Shahapurkar, Juan Aparicio, Jeffrey Mahler, Vishal Satish, Ken Goldberg, Heiko Claussen:
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC). CoRR abs/2004.10251 (2020) - [i7]Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg:
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CoRR abs/2007.10420 (2020)
2010 – 2019
- 2019
- [j4]Vishal Satish, Jeffrey Mahler, Ken Goldberg:
On-Policy Dataset Synthesis for Learning Robot Grasping Policies Using Fully Convolutional Deep Networks. IEEE Robotics Autom. Lett. 4(2): 1357-1364 (2019) - [c25]David Wang, David Tseng, Pusong Li, Yiding Jiang, Menglong Guo, Michael Danielczuk, Jeffrey Mahler, Jeffrey Ichnowski, Ken Goldberg:
Adversarial Grasp Objects. CASE 2019: 241-248 - [c24]Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg:
Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE 2019: 1373-1379 - [c23]Christopher Correa, Jeffrey Mahler, Michael Danielczuk, Ken Goldberg:
Robust Toppling for Vacuum Suction Grasping. CASE 2019: 1421-1428 - [c22]Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg:
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. ICRA 2019: 7283-7290 - [c21]Anastasiia Varava, Michael C. Welle, Jeffrey Mahler, Ken Goldberg, Danica Kragic, Florian T. Pokomy:
Partial Caging: A Clearance-Based Definition and Deep Learning. IROS 2019: 1533-1540 - [c20]Michael Danielczuk, Jingyi Xu, Jeffrey Mahler, Matthew Matl, Nuttapong Chentanez, Ken Goldberg:
REACH: Reducing False Negatives in Robot Grasp Planning with a Robust Efficient Area Contact Hypothesis Model. ISRR 2019: 757-772 - [i6]Jingyi Xu, Michael Danielczuk, Jeffrey Ichnowski, Jeffrey Mahler, Eckehard G. Steinbach, Ken Goldberg:
Minimal Work: A Grasp Quality Metric for Deformable Hollow Objects. CoRR abs/1909.11226 (2019) - 2018
- [b1]Jeffrey Mahler:
Efficient Policy Learning for Robust Robot Grasping. University of California, Berkeley, USA, 2018 - [j3]Jeffrey Mahler, Florian T. Pokorny, Sherdil Niyaz, Ken Goldberg:
Synthesis of Energy-Bounded Planar Caging Grasps Using Persistent Homology. IEEE Trans Autom. Sci. Eng. 15(3): 908-918 (2018) - [j2]Jeffrey Mahler, Robert Platt Jr., Alberto Rodriguez, Matei T. Ciocarlie, Aaron M. Dollar, Renaud Detry, Máximo A. Roa, Holly A. Yanco, Adam Norton, Joe Falco, Karl Van Wyk, Elena Messina, Jürgen Leitner, Douglas Morrison, Matthew T. Mason, Oliver Brock, Lael Odhner, Andrey Kurenkov, Matthew Matl, Ken Goldberg:
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics. IEEE Trans Autom. Sci. Eng. 15(4): 1440-1442 (2018) - [c19]Michael Danielczuk, Jeffrey Mahler, Christopher Correa, Ken Goldberg:
Linear Push Policies to Increase Grasp Access for Robot Bin Picking. CASE 2018: 1249-1256 - [c18]Pusong Li, Bill DeRose, Jeffrey Mahler, Juan Aparicio Ojea, Ajay Kumar Tanwani, Ken Goldberg:
Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. CASE 2018: 1420-1427 - [c17]Jeffrey Mahler, Matthew Matl, Xinyu Liu, Albert Li, David V. Gealy, Ken Goldberg:
Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. ICRA 2018: 1-8 - [i5]Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg:
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. CoRR abs/1809.05825 (2018) - 2017
- [c16]Jacky Liang, Jeffrey Mahler, Michael Laskey, Pusong Li, Ken Goldberg:
Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot. CASE 2017: 1-8 - [c15]Matthew Matl, Jeffrey Mahler, Ken Goldberg:
An algorithm for transferring parallel-jaw grasps between 3D mesh subsegments. CASE 2017: 756-763 - [c14]Jeffrey Mahler, Ken Goldberg:
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences. CoRL 2017: 515-524 - [c13]Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Ken Goldberg:
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. ICRA 2017: 358-365 - [c12]Nan Tian, Matthew Matl, Jeffrey Mahler, Yu Xiang Zhou, Samantha Staszak, Christopher Correa, Steven Zheng, Qiang Li, Robert Zhang, Ken Goldberg:
A cloud robot system using the dexterity network and berkeley robotics and automation as a service (Brass). ICRA 2017: 1615-1622 - [c11]Menglong Guo, David V. Gealy, Jacky Liang, Jeffrey Mahler, Aimee Goncalves, Stephen McKinley, Juan Aparicio Ojea, Ken Goldberg:
Design of parallel-jaw gripper tip surfaces for robust grasping. ICRA 2017: 2831-2838 - [c10]Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg:
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. Robotics: Science and Systems 2017 - [i4]Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg:
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. CoRR abs/1703.09312 (2017) - [i3]Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg:
Iterative Noise Injection for Scalable Imitation Learning. CoRR abs/1703.09327 (2017) - [i2]Jeffrey Mahler, Matthew Matl, Xinyu Liu, Albert Li, David V. Gealy, Ken Goldberg:
Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning. CoRR abs/1709.06670 (2017) - 2016
- [j1]Jeffrey Mahler, Florian T. Pokorny, Zoe McCarthy, A. Frank van der Stappen, Ken Goldberg:
Energy-Bounded Caging: Formal Definition and 2-D Energy Lower Bound Algorithm Based on Weighted Alpha Shapes. IEEE Robotics Autom. Lett. 1(1): 508-515 (2016) - [c9]Jeffrey Mahler, Brian Hou, Sherdil Niyaz, Florian T. Pokorny, Ramu Chandra, Ken Goldberg:
Privacy-preserving Grasp Planning in the Cloud. CASE 2016: 468-475 - [c8]Michael Laskey, Sam Staszak, Wesley Yu-Shu Hsieh, Jeffrey Mahler, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg:
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces. ICRA 2016: 462-469 - [c7]Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg:
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA 2016: 1957-1964 - [c6]Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg:
Large-scale supervised learning of the grasp robustness of surface patch pairs. SIMPAR 2016: 216-223 - [c5]Jeffrey Mahler, Florian T. Pokorny, Sherdil Niyaz, Ken Goldberg:
Synthesis of Energy-Bounded Planar Caging Grasps using Persistent Homology. WAFR 2016: 416-431 - [i1]Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Kenneth Y. Goldberg:
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations. CoRR abs/1610.00850 (2016) - 2015
- [c4]Michael Laskey, Jeffrey Mahler, Zoe McCarthy, Florian T. Pokorny, Sachin Patil, Jur P. van den Berg, Danica Kragic, Pieter Abbeel, Ken Goldberg:
Multi-armed bandit models for 2D grasp planning with uncertainty. CASE 2015: 572-579 - [c3]Jeffrey Mahler, Sachin Patil, Ben Kehoe, Jur van den Berg, Matei T. Ciocarlie, Pieter Abbeel, Ken Goldberg:
GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming. ICRA 2015: 4919-4926 - 2014
- [c2]Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg:
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. CASE 2014: 532-539 - [c1]Ben Kehoe, Gregory Kahn, Jeffrey Mahler, Jonathan Kim, Alex X. Lee, Anna Lee, Keisuke Nakagawa, Sachin Patil, W. Douglas Boyd, Pieter Abbeel, Kenneth Y. Goldberg:
Autonomous multilateral debridement with the Raven surgical robot. ICRA 2014: 1432-1439
Coauthor Index
aka: Ken Goldberg
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