Matthew Matl
Matthew Matl
PhD Candidate, UC Berkeley
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Dex-net 3.0: Computing robust robot 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
arXiv preprint arXiv:1709.06670, 2017
102*2017
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
972016
Learning ambidextrous robot grasping policies
J Mahler, M Matl, V Satish, M Danielczuk, B DeRose, S McKinley, ...
Science Robotics 4 (26), 2019
712019
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
182019
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
182017
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
132019
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
112018
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
92018
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
Int. S. Robotics Research (ISRR), 2019
22019
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
22017
ROBOTIC SYSTEMS AND METHODS FOR ROBUSTLY GRASPING AND TARGETING OBJECTS
KY Goldberg, JB Mahler, M Matl
US Patent App. 16/642,840, 2020
2020
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
2019
Learning Robotic Grasping Policies for Suction Cups and Parallel Jaws in Simulation
M Matl, R Bajcsy, K Goldberg
2019
Linux Support for Memory Traffic Shaping
M Matl
2016
Supplementary Material for “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
OpenPiton: An Emerging Standard for Open-Source EDA Tool Development
J Balkind, A Lavrov, M McKeown, Y Fu, T Nguyen, M Shahrad, A Li, K Lim, ...
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