Team Applied Robotics: A closer look at our robotic picking system
Abstract
This paper describes the vision based robotic picking system that was developed by our team, Team Applied Robotics, for the Amazon Picking Challenge 2016. This competition challenged teams to develop a robotic system that is able to pick a large variety of products from a shelve or a tote. We discuss the design considerations and our strategy, the high resolution 3D vision system, the use of a combination of texture and shape-based object detection algorithms, the robot path planning and object manipulators that were developed.
- Publication:
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arXiv e-prints
- Pub Date:
- July 2017
- DOI:
- 10.48550/arXiv.1707.07244
- arXiv:
- arXiv:1707.07244
- Bibcode:
- 2017arXiv170707244A
- Keywords:
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- Computer Science - Computer Vision and Pattern Recognition;
- Computer Science - Robotics
- E-Print:
- IEEE International Conference on Robotics and Automation (ICRA), Warehouse Picking Automation Workshop, May 29 to June 3, 2017, Singapore