Fault Self-Diagnosis for Modular Robotic Systems Using M-Lattice Modules. (9th April 2015)
- Record Type:
- Journal Article
- Title:
- Fault Self-Diagnosis for Modular Robotic Systems Using M-Lattice Modules. (9th April 2015)
- Main Title:
- Fault Self-Diagnosis for Modular Robotic Systems Using M-Lattice Modules
- Authors:
- Guan, Enguang
Fei, Jian
Pan, Gen
Fu, Zhuang
Yan, Weixin
Zhao, Yanzheng - Abstract:
- In the domain of modular robotic systems, self-configuration, self-diagnosis and self-repair are known to be highly challenging tasks. This paper presents a novel fault self-diagnosis strategy which consists of two parts: fault detection and fault message transmission. In fault detection, a bionic synchronization 'healthy heartbeat' method is used to guarantee the high efficiency of the exogenous detection strategy. For fault message transmission, the Dijkstra method is modified to be capable of guiding the passage of fault messages along the optimal path. In a modular robotic system, fault message transmission depends mainly on local communications between adjacent modules, so there is no need for global broadcast information. Computational simulations of one system form, M-Lattice, have demonstrated the practical effectiveness of the proposed strategy. The strategy should be applicable in modular robotic systems in general.
- Is Part Of:
- International journal of advanced robotic systems. Volume 12:Number 4(2015)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 12:Number 4(2015)
- Issue Display:
- Volume 12, Issue 4 (2015)
- Year:
- 2015
- Volume:
- 12
- Issue:
- 4
- Issue Sort Value:
- 2015-0012-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-04-09
- Subjects:
- Modular robotic system -- fault self-diagnosis -- M-Lattice module
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.5772/60092 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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