A multi-robot cooperation framework for sewing personalized stent grafts
File(s)ALL_TII-17-2141.pdf (8.44 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
This paper presents a multi-robot system for manufacturing personalized medical stent grafts. The proposed system adopts a modular design, which includes: a (personalized) mandrel module, a bimanual sewing module, and a vision module. The mandrel module incorporates the personalized geometry of patients, while the bimanual sewing module adopts a learning-by-demonstration approach to transfer human hand-sewing skills to the robots. The human demonstrations were firstly observed by the vision module and then encoded using a statistical model to generate the reference motion trajectories. During autonomous robot sewing, the vision module plays the role of coordinating multi-robot collaboration. Experiment results show that the robots can adapt to generalized stent designs. The proposed system can also be used for other manipulation tasks, especially for flexible production of customized products and where bimanual or multi-robot cooperation is required.
Date Issued
2018-04-01
Date Acceptance
2017-10-18
Citation
IEEE Transactions on Industrial Informatics, 2018, 14 (4), pp.1776-1785
ISSN
1551-3203
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1776
End Page
1785
Journal / Book Title
IEEE Transactions on Industrial Informatics
Volume
14
Issue
4
Copyright Statement
© 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/
redistribution
requires IEEE permission. See http://www.ieee.org/publications
standards/publications/rights/index.html for more information.
redistribution
requires IEEE permission. See http://www.ieee.org/publications
standards/publications/rights/index.html for more information.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/J021199/1
EP/L020688/1
Subjects
08 Information And Computing Sciences
09 Engineering
10 Technology
Electrical & Electronic Engineering
Publication Status
Published
Date Publish Online
2017-11-16