Team Applied Robotics: A closer look at our robotic picking system

Wim Abbeloos; Fabian Gouwens; Simon Jansen; Berend Küpers; Maurice Ramaker; Toon Goedemé

Team Applied Robotics: A closer look at our robotic picking system

Computer Vision and Pattern Recognition 2017-07-25 v1 Robotics

Authors: Wim Abbeloos , Fabian Gouwens , Simon Jansen , Berend Küpers , Maurice Ramaker , Toon Goedemé

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.

Keywords

robotic manipulation robotics

Cite

@article{arxiv.1707.07244,
  title  = {Team Applied Robotics: A closer look at our robotic picking system},
  author = {Wim Abbeloos and Fabian Gouwens and Simon Jansen and Berend Küpers and Maurice Ramaker and Toon Goedemé},
  journal= {arXiv preprint arXiv:1707.07244},
  year   = {2017}
}

Comments

IEEE International Conference on Robotics and Automation (ICRA), Warehouse Picking Automation Workshop, May 29 to June 3, 2017, Singapore

Team Applied Robotics: A closer look at our robotic picking system

Abstract

Keywords

Cite

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