Detection and notification of failures in distributed component-based robot applications using blackboard architecture

Michael Shin; Taeghyun Kang; Sunghoon Kim

doi:10.1007/978-4-431-55879-8_30

Detection and notification of failures in distributed component-based robot applications using blackboard architecture

Michael Shin, Taeghyun Kang, Sunghoon Kim

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper describes detection and notification of component failures in distributed component-based robot applications using the blackboard architecture. The blackboard architecture monitors each component of robot applications in order to detect component failures at runtime and it identifies the causes of failures. Using the dependency relationships between components, the blackboard architecture performs impact analysis between components so that it determines the scope of failure notification in the components of a distributed robot application. The notification messages delivered to components can trigger actions against the failures if robot application developers have implemented the actions along with application functions. The prototype of blackboard architecture has been implemented for the Microsoft Robotics Developer Studio (MSRDS) environment, and it has been applied to the Unmanned Ground Vehicle (UGV) application implemented on the simulator as a case study.

Original language	English
Title of host publication	Distributed Autonomous Robotic Systems - The 12th International Symposium
Editors	Young-Jo Cho, Nak-Young Chong
Publisher	Springer-Verlag
Pages	433-446
Number of pages	14
ISBN (Print)	9784431558774
DOIs	https://doi.org/10.1007/978-4-431-55879-8_30
State	Published - 2016
Event	12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014 - Daejeon, Korea, Republic of Duration: Nov 2 2014 → Nov 5 2014

Publication series

Name	Springer Tracts in Advanced Robotics
Volume	112
ISSN (Print)	1610-7438
ISSN (Electronic)	1610-742X

Conference

Conference	12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014
Country/Territory	Korea, Republic of
City	Daejeon
Period	11/2/14 → 11/5/14

Keywords

Blackboard architecture
Detection
Impact analysis
Notification
Robot component

Access to Document

10.1007/978-4-431-55879-8_30

Cite this

Shin, M., Kang, T., & Kim, S. (2016). Detection and notification of failures in distributed component-based robot applications using blackboard architecture. In Y-J. Cho, & N-Y. Chong (Eds.), Distributed Autonomous Robotic Systems - The 12th International Symposium (pp. 433-446). (Springer Tracts in Advanced Robotics; Vol. 112). Springer-Verlag. https://doi.org/10.1007/978-4-431-55879-8_30

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title = "Detection and notification of failures in distributed component-based robot applications using blackboard architecture",

abstract = "This paper describes detection and notification of component failures in distributed component-based robot applications using the blackboard architecture. The blackboard architecture monitors each component of robot applications in order to detect component failures at runtime and it identifies the causes of failures. Using the dependency relationships between components, the blackboard architecture performs impact analysis between components so that it determines the scope of failure notification in the components of a distributed robot application. The notification messages delivered to components can trigger actions against the failures if robot application developers have implemented the actions along with application functions. The prototype of blackboard architecture has been implemented for the Microsoft Robotics Developer Studio (MSRDS) environment, and it has been applied to the Unmanned Ground Vehicle (UGV) application implemented on the simulator as a case study.",

keywords = "Blackboard architecture, Detection, Impact analysis, Notification, Robot component",

author = "Michael Shin and Taeghyun Kang and Sunghoon Kim",

note = "Funding Information: This work was supported in part by the Knowledge Economy Technology Innovation Program of MOTIE/KEIT, Rep. of Korea [10044006, Development of Open Robot Middleware Supporting User-Friend Developer Tools and Standard Robot API Components] Publisher Copyright: {\textcopyright} Springer Japan 2016.; null ; Conference date: 02-11-2014 Through 05-11-2014",

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Shin, M, Kang, T & Kim, S 2016, Detection and notification of failures in distributed component-based robot applications using blackboard architecture. in Y-J Cho & N-Y Chong (eds), Distributed Autonomous Robotic Systems - The 12th International Symposium. Springer Tracts in Advanced Robotics, vol. 112, Springer-Verlag, pp. 433-446, 12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014, Daejeon, Korea, Republic of, 11/2/14. https://doi.org/10.1007/978-4-431-55879-8_30

Detection and notification of failures in distributed component-based robot applications using blackboard architecture. / Shin, Michael; Kang, Taeghyun; Kim, Sunghoon.

Distributed Autonomous Robotic Systems - The 12th International Symposium. ed. / Young-Jo Cho; Nak-Young Chong. Springer-Verlag, 2016. p. 433-446 (Springer Tracts in Advanced Robotics; Vol. 112).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Funding Information: This work was supported in part by the Knowledge Economy Technology Innovation Program of MOTIE/KEIT, Rep. of Korea [10044006, Development of Open Robot Middleware Supporting User-Friend Developer Tools and Standard Robot API Components] Publisher Copyright: © Springer Japan 2016.

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N2 - This paper describes detection and notification of component failures in distributed component-based robot applications using the blackboard architecture. The blackboard architecture monitors each component of robot applications in order to detect component failures at runtime and it identifies the causes of failures. Using the dependency relationships between components, the blackboard architecture performs impact analysis between components so that it determines the scope of failure notification in the components of a distributed robot application. The notification messages delivered to components can trigger actions against the failures if robot application developers have implemented the actions along with application functions. The prototype of blackboard architecture has been implemented for the Microsoft Robotics Developer Studio (MSRDS) environment, and it has been applied to the Unmanned Ground Vehicle (UGV) application implemented on the simulator as a case study.

AB - This paper describes detection and notification of component failures in distributed component-based robot applications using the blackboard architecture. The blackboard architecture monitors each component of robot applications in order to detect component failures at runtime and it identifies the causes of failures. Using the dependency relationships between components, the blackboard architecture performs impact analysis between components so that it determines the scope of failure notification in the components of a distributed robot application. The notification messages delivered to components can trigger actions against the failures if robot application developers have implemented the actions along with application functions. The prototype of blackboard architecture has been implemented for the Microsoft Robotics Developer Studio (MSRDS) environment, and it has been applied to the Unmanned Ground Vehicle (UGV) application implemented on the simulator as a case study.

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Detection and notification of failures in distributed component-based robot applications using blackboard architecture

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