Additive Manufacturing Cloud via Peer-Robot Collaboration

When building a 3D printing cloud manufacturing platform, self-sensing and collaboration on manufacturing resources present challenging problems. This paper proposes a peer-robot collaboration framework to deal with these issues. Each robot combines heterogeneous additive manufacturing hardware and...

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Bibliographic Details
Main Authors: Yuan Yao, Dong Chen, Lei Wang, Xiaoming Yang
Format: Article
Language:English
Published: SAGE Publishing 2016-05-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/63938
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spelling doaj-1b24d76634d548529c7dc315ff6fceb22020-11-25T03:24:08ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142016-05-011310.5772/6393810.5772_63938Additive Manufacturing Cloud via Peer-Robot CollaborationYuan Yao0Dong Chen1Lei Wang2Xiaoming Yang3 Shanghai Key Laboratory of Manufacturing Automation and Robotics, Shanghai, China Rapid Manufacture Engineering Center, Shanghai University, Shanghai, China Rapid Manufacture Engineering Center, Shanghai University, Shanghai, China School of Computer Science, Huzhou University, Zhejiang Huzhou, ChinaWhen building a 3D printing cloud manufacturing platform, self-sensing and collaboration on manufacturing resources present challenging problems. This paper proposes a peer-robot collaboration framework to deal with these issues. Each robot combines heterogeneous additive manufacturing hardware and software, acting as an intelligent agent. Through collaboration with other robots, it forms a dynamic and scalable integration manufacturing system. The entire distributed system is managed by rules that employ an internal rule engine, which supports rule conversion and conflict resolution. Two additive manufacturing service scenarios are designed to analyse the efficiency and scalability of the framework. Experiments show that the presented method performs well in tasks requiring large-scale access to resources and collaboration.https://doi.org/10.5772/63938
collection DOAJ
language English
format Article
sources DOAJ
author Yuan Yao
Dong Chen
Lei Wang
Xiaoming Yang
spellingShingle Yuan Yao
Dong Chen
Lei Wang
Xiaoming Yang
Additive Manufacturing Cloud via Peer-Robot Collaboration
International Journal of Advanced Robotic Systems
author_facet Yuan Yao
Dong Chen
Lei Wang
Xiaoming Yang
author_sort Yuan Yao
title Additive Manufacturing Cloud via Peer-Robot Collaboration
title_short Additive Manufacturing Cloud via Peer-Robot Collaboration
title_full Additive Manufacturing Cloud via Peer-Robot Collaboration
title_fullStr Additive Manufacturing Cloud via Peer-Robot Collaboration
title_full_unstemmed Additive Manufacturing Cloud via Peer-Robot Collaboration
title_sort additive manufacturing cloud via peer-robot collaboration
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2016-05-01
description When building a 3D printing cloud manufacturing platform, self-sensing and collaboration on manufacturing resources present challenging problems. This paper proposes a peer-robot collaboration framework to deal with these issues. Each robot combines heterogeneous additive manufacturing hardware and software, acting as an intelligent agent. Through collaboration with other robots, it forms a dynamic and scalable integration manufacturing system. The entire distributed system is managed by rules that employ an internal rule engine, which supports rule conversion and conflict resolution. Two additive manufacturing service scenarios are designed to analyse the efficiency and scalability of the framework. Experiments show that the presented method performs well in tasks requiring large-scale access to resources and collaboration.
url https://doi.org/10.5772/63938
work_keys_str_mv AT yuanyao additivemanufacturingcloudviapeerrobotcollaboration
AT dongchen additivemanufacturingcloudviapeerrobotcollaboration
AT leiwang additivemanufacturingcloudviapeerrobotcollaboration
AT xiaomingyang additivemanufacturingcloudviapeerrobotcollaboration
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