Fault diagnosis on autonomous robotic vehicles with RECOVERY: An integrated heterogeneous-knowledge approach

K. Hamilton; D. Lane; N. Taylor; Keith Edgar Brown

Fault diagnosis on autonomous robotic vehicles with RECOVERY: An integrated heterogeneous-knowledge approach

K. Hamilton, D. Lane, N. Taylor, Keith Edgar Brown

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

Abstract

The need for embedding fault diagnosis into goal-orientated autonomous robotic vehicles for increased mission robustness is described. The RECOVERY system, a method for increasing the diagnostic capability by integrating commonly available heterogeneous knowledge is presented. Initial real-water results using the Ocean Systems Laboratory's RAUVER vehicle are given.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Robotics and Automation
Pages	3232-3237
Number of pages	6
Volume	4
Publication status	Published - 2001
Event	2001 IEEE International Conference on Robotics and Automation - Seoul, Korea, Republic of Duration: 21 May 2001 → 26 May 2001

Conference

Conference	2001 IEEE International Conference on Robotics and Automation
Country/Territory	Korea, Republic of
City	Seoul
Period	21/05/01 → 26/05/01

Keywords

Autonomous underwater vehicles
Heterogeneous knowledge
Mission robustness
Model based diagnosis
Robot vehicles
Subsea

Cite this

@inproceedings{dfb9cdcebfd041dabb812365c9f5af69,

title = "Fault diagnosis on autonomous robotic vehicles with RECOVERY: An integrated heterogeneous-knowledge approach",

abstract = "The need for embedding fault diagnosis into goal-orientated autonomous robotic vehicles for increased mission robustness is described. The RECOVERY system, a method for increasing the diagnostic capability by integrating commonly available heterogeneous knowledge is presented. Initial real-water results using the Ocean Systems Laboratory's RAUVER vehicle are given.",

keywords = "Autonomous underwater vehicles, Heterogeneous knowledge, Mission robustness, Model based diagnosis, Robot vehicles, Subsea",

author = "K. Hamilton and D. Lane and N. Taylor and Brown, \{Keith Edgar\}",

year = "2001",

language = "English",

volume = "4",

pages = "3232--3237",

booktitle = "Proceedings - IEEE International Conference on Robotics and Automation",

note = "2001 IEEE International Conference on Robotics and Automation ; Conference date: 21-05-2001 Through 26-05-2001",

}

TY - GEN

T1 - Fault diagnosis on autonomous robotic vehicles with RECOVERY

T2 - 2001 IEEE International Conference on Robotics and Automation

AU - Hamilton, K.

AU - Lane, D.

AU - Taylor, N.

AU - Brown, Keith Edgar

PY - 2001

Y1 - 2001

N2 - The need for embedding fault diagnosis into goal-orientated autonomous robotic vehicles for increased mission robustness is described. The RECOVERY system, a method for increasing the diagnostic capability by integrating commonly available heterogeneous knowledge is presented. Initial real-water results using the Ocean Systems Laboratory's RAUVER vehicle are given.

AB - The need for embedding fault diagnosis into goal-orientated autonomous robotic vehicles for increased mission robustness is described. The RECOVERY system, a method for increasing the diagnostic capability by integrating commonly available heterogeneous knowledge is presented. Initial real-water results using the Ocean Systems Laboratory's RAUVER vehicle are given.

KW - Autonomous underwater vehicles

KW - Heterogeneous knowledge

KW - Mission robustness

KW - Model based diagnosis

KW - Robot vehicles

KW - Subsea

UR - https://www.scopus.com/pages/publications/0034861373

M3 - Conference contribution

VL - 4

SP - 3232

EP - 3237

BT - Proceedings - IEEE International Conference on Robotics and Automation

Y2 - 21 May 2001 through 26 May 2001

ER -

Fault diagnosis on autonomous robotic vehicles with RECOVERY: An integrated heterogeneous-knowledge approach

Abstract

Conference

Keywords

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