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What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics
Name
01691864.2019.pdf
Description
Published version
Size
3.39 MB
Format
Adobe PDF
Checksum (MD5)
8b73456d588bd28caff54082d480a799
Author(s)
Fujita, M
Domae, Y
Noda, A
Garcia Ricardez, GA
Nagatani, T
Zeng, A
Song, S
Rodriguez, A
Causo, A
Chen, IM
Date Issued
2019
Journal
Advanced Robotics
Publisher
Informa UK Limited
Citation
Fujita, M, Domae, Y, Noda, A, Garcia Ricardez, GA, Nagatani, T et al. 2019. "What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics." Advanced Robotics, 34 (7-8).
Version
Final published version
Abstract
© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Bin picking is still a challenge in robotics, as patent in recent robot competitions. These competitions are an excellent platform for technology comparisons since some participants may use state-of-the-art technologies, while others may use conventional ones. Nevertheless, even though points are awarded or subtracted based on the performance in the frame of the competition rules, the final score does not directly reflect the suitability of the technology. Therefore, it is difficult to understand which technologies and their combination are optimal for various real-world problems. In this paper, we propose a set of performance metrics selected in terms of actual field use as a solution to clarify the important technologies in bin picking. Moreover, we use the selected metrics to compare our four original robot systems, which achieved the best performance in the Stow task of the Amazon Robotics Challenge 2017. Based on this comparison, we discuss which technologies are ideal for practical use in bin picking robots in the fields of factory and warehouse automation.
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
10.1080/01691864.2019.1698463
