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

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

20 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
Pages3232-3237
Number of pages6
Volume4
Publication statusPublished - 2001
Event2001 IEEE International Conference on Robotics and Automation - Seoul, Korea, Republic of
Duration: 21 May 200126 May 2001

Conference

Conference2001 IEEE International Conference on Robotics and Automation
CountryKorea, Republic of
CitySeoul
Period21/05/0126/05/01

Keywords

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

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