Matthew Matl
Berkeley College(US)University of California, Berkeley(US)
Publications by Year
Research Areas
Robot Manipulation and Learning, Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Embedded Systems Design Techniques, Soft Robotics and Applications
Most-Cited Works
- → Learning ambidextrous robot grasping policies(2019)570 cited
- → Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning(2018)323 cited
- → Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data(2019)188 cited
- → OpenPiton(2016)147 cited
- → Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter(2019)106 cited
- Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning(2017)
- → A cloud robot system using the dexterity network and berkeley robotics and automation as a service (Brass)(2017)39 cited
- → Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics(2018)27 cited