Matthew Matl

Orcid: 0000-0003-0173-2820

According to our database1, Matthew Matl authored at least 12 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Learning ambidextrous robot grasping policies.
Sci. Robotics, 2019

OpenPiton: an open source hardware platform for your research.
Commun. ACM, 2019

REACH: Reducing False Negatives in Robot Grasp Planning with a Robust Efficient Area Contact Hypothesis Model.
Proceedings of the Robotics Research, 2019

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data.
Proceedings of the International Conference on Robotics and Automation, 2019

Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics.
IEEE Trans Autom. Sci. Eng., 2018

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds.
CoRR, 2018

Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning.
CoRR, 2017

A cloud robot system using the dexterity network and berkeley robotics and automation as a service (Brass).
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

An algorithm for transferring parallel-jaw grasps between 3D mesh subsegments.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
OpenPiton: An Open Source Manycore Research Framework.
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016


  Loading...