Autonomic Sonar Sensor Fault Manager for Mobile Robots

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Abstract—NASA, ESA and NSSC space agencies have plans to put planetary rovers on Mars in 2020. For these future planetary rovers to succeed, they will heavily depend on sensors to detect obstacles. This will also become of vital importance in the future, if rovers become less dependent on commands received from earth-based control and more dependent on self-configuration and self-decision making. These planetary rovers will face harsh environments and the possibility of hardware failure is high, as seen in missions from the past. In this paper, we focus on using Autonomic principles, where self-healing, self-optimization and self-adaption are explored using the MAPE-K model and expanding this model to encapsulate the attributes such as Awareness, Analysis and Adjustment (AAA-3). In the experimentation, a Pioneer P3-DX research robot is used to simulate a planetary rover. The sonar sensors on the P3-DX robot are used to simulate the sensors on a planetary rover (even though in reality, sonar sensors cannot operate in a vacuum). Experiments using the P3-DX robot focus on how our software system can be adapted with the loss of sonar sensor functionality. The autonomic manager system is responsible for the decision making on how to make use of remaining ‘enabled’ sonars sensors to compensate for those sonar sensors that are ‘disabled’. The key to this research is that the robot can still detect objects even with reduced sonar sensor capability.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages8
Publication statusPublished - 25 Mar 2017
EventICACCE 2017 : 19th International Conference on Autonomic Computing and Computer Engineering - London
Duration: 25 Mar 2017 → …

Conference

ConferenceICACCE 2017 : 19th International Conference on Autonomic Computing and Computer Engineering
Period25/03/17 → …

Fingerprint

Sonar
Mobile robots
Managers
Sensors
Robots
Decision making
NASA
Earth (planet)
Vacuum
Hardware

Keywords

  • autonomic computing
  • self-adaption
  • self-healing
  • self-optimization

Cite this

@inproceedings{5025a3f365a94ee49f23b854dc194a41,
title = "Autonomic Sonar Sensor Fault Manager for Mobile Robots",
abstract = "Abstract—NASA, ESA and NSSC space agencies have plans to put planetary rovers on Mars in 2020. For these future planetary rovers to succeed, they will heavily depend on sensors to detect obstacles. This will also become of vital importance in the future, if rovers become less dependent on commands received from earth-based control and more dependent on self-configuration and self-decision making. These planetary rovers will face harsh environments and the possibility of hardware failure is high, as seen in missions from the past. In this paper, we focus on using Autonomic principles, where self-healing, self-optimization and self-adaption are explored using the MAPE-K model and expanding this model to encapsulate the attributes such as Awareness, Analysis and Adjustment (AAA-3). In the experimentation, a Pioneer P3-DX research robot is used to simulate a planetary rover. The sonar sensors on the P3-DX robot are used to simulate the sensors on a planetary rover (even though in reality, sonar sensors cannot operate in a vacuum). Experiments using the P3-DX robot focus on how our software system can be adapted with the loss of sonar sensor functionality. The autonomic manager system is responsible for the decision making on how to make use of remaining ‘enabled’ sonars sensors to compensate for those sonar sensors that are ‘disabled’. The key to this research is that the robot can still detect objects even with reduced sonar sensor capability.",
keywords = "autonomic computing, self-adaption, self-healing, self-optimization",
author = "Martin Doran and Roy Sterritt and George Wilkie",
year = "2017",
month = "3",
day = "25",
language = "English",
booktitle = "Unknown Host Publication",

}

Doran, M, Sterritt, R & Wilkie, G 2017, Autonomic Sonar Sensor Fault Manager for Mobile Robots. in Unknown Host Publication. ICACCE 2017 : 19th International Conference on Autonomic Computing and Computer Engineering, 25/03/17.

Autonomic Sonar Sensor Fault Manager for Mobile Robots. / Doran, Martin; Sterritt, Roy; Wilkie, George.

Unknown Host Publication. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Autonomic Sonar Sensor Fault Manager for Mobile Robots

AU - Doran, Martin

AU - Sterritt, Roy

AU - Wilkie, George

PY - 2017/3/25

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N2 - Abstract—NASA, ESA and NSSC space agencies have plans to put planetary rovers on Mars in 2020. For these future planetary rovers to succeed, they will heavily depend on sensors to detect obstacles. This will also become of vital importance in the future, if rovers become less dependent on commands received from earth-based control and more dependent on self-configuration and self-decision making. These planetary rovers will face harsh environments and the possibility of hardware failure is high, as seen in missions from the past. In this paper, we focus on using Autonomic principles, where self-healing, self-optimization and self-adaption are explored using the MAPE-K model and expanding this model to encapsulate the attributes such as Awareness, Analysis and Adjustment (AAA-3). In the experimentation, a Pioneer P3-DX research robot is used to simulate a planetary rover. The sonar sensors on the P3-DX robot are used to simulate the sensors on a planetary rover (even though in reality, sonar sensors cannot operate in a vacuum). Experiments using the P3-DX robot focus on how our software system can be adapted with the loss of sonar sensor functionality. The autonomic manager system is responsible for the decision making on how to make use of remaining ‘enabled’ sonars sensors to compensate for those sonar sensors that are ‘disabled’. The key to this research is that the robot can still detect objects even with reduced sonar sensor capability.

AB - Abstract—NASA, ESA and NSSC space agencies have plans to put planetary rovers on Mars in 2020. For these future planetary rovers to succeed, they will heavily depend on sensors to detect obstacles. This will also become of vital importance in the future, if rovers become less dependent on commands received from earth-based control and more dependent on self-configuration and self-decision making. These planetary rovers will face harsh environments and the possibility of hardware failure is high, as seen in missions from the past. In this paper, we focus on using Autonomic principles, where self-healing, self-optimization and self-adaption are explored using the MAPE-K model and expanding this model to encapsulate the attributes such as Awareness, Analysis and Adjustment (AAA-3). In the experimentation, a Pioneer P3-DX research robot is used to simulate a planetary rover. The sonar sensors on the P3-DX robot are used to simulate the sensors on a planetary rover (even though in reality, sonar sensors cannot operate in a vacuum). Experiments using the P3-DX robot focus on how our software system can be adapted with the loss of sonar sensor functionality. The autonomic manager system is responsible for the decision making on how to make use of remaining ‘enabled’ sonars sensors to compensate for those sonar sensors that are ‘disabled’. The key to this research is that the robot can still detect objects even with reduced sonar sensor capability.

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KW - self-healing

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M3 - Conference contribution

BT - Unknown Host Publication

ER -