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A multi-robot cooperation framework for sewing personalized stent grafts

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Title: A multi-robot cooperation framework for sewing personalized stent grafts
Authors: Huang, B
Ye, M
Hu, Y
Vandini, A
Lee, S
Yang, G
Item 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.
Issue Date: 1-Apr-2018
Date of Acceptance: 18-Oct-2017
URI: http://hdl.handle.net/10044/1/53485
DOI: https://dx.doi.org/10.1109/TII.2017.2773479
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.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/J021199/1
EP/L020688/1
Keywords: 08 Information And Computing Sciences
09 Engineering
10 Technology
Electrical & Electronic Engineering
Publication Status: Published
Online Publication Date: 2017-11-16
Appears in Collections:Computing
Faculty of Engineering