Issue |
MATEC Web Conf.
Volume 75, 2016
2016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|
|
---|---|---|
Article Number | 07003 | |
Number of page(s) | 5 | |
Section | Artificial Intelligence | |
DOI | https://doi.org/10.1051/matecconf/20167507003 | |
Published online | 01 September 2016 |
Robotic vision system for random bin picking with dual-arm robots
Electronics and Telecommunications Research Institute, 34129, Daejeon, Korea
Random bin picking is one of the most challenging industrial robotics applications available. It constitutes a complicated interaction between the vision system, robot, and control system. For a packaging operation requiring a pick-and-place task, the robot system utilized should be able to perform certain functions for recognizing the applicable target object from randomized objects in a bin. In this paper, we introduce a robotic vision system for bin picking using industrial dual-arm robots. The proposed system recognizes the best object from randomized target candidates based on stereo vision, and estimates the position and orientation of the object. It then sends the result to the robot control system. The system was developed for use in the packaging process of cell phone accessories using dual-arm robots.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.