A probabilistic approach to robotic NDE inspection

R. Summan, G. Dobie, J. Hensman, S.G. Pierce, K. Worden

Research output: Contribution to journalConference Contribution

4 Citations (Scopus)

Abstract

The application of wireless robotic inspection vehicles equipped with different NDE payloads has been introduced previously, with emphasis placed on inspection applications in hazardous and inaccessible environments. A particular challenge to the practical application of such robotic inspection lies in the localization of the devices. The authors here consider a probabilistic approach to both the positioning and defect problems by using the location of the robot and the NDE measurements (acquired from the onboard transducers) to make inference about defect existence and position. Using a particle filter approach running locally on the robots, the vehicle location is tracked by fusing noisy redundant data sets supplying positional information.
LanguageEnglish
Article number1999
Number of pages7
JournalAmerican Institute of Physics Conference Proceedings
Volume1211
Issue number1
DOIs
Publication statusPublished - 22 Feb 2010
EventReview of Progress in Quantitative NDE - Kingston, Rhode Island, United States
Duration: 26 Jul 200931 Jul 2009

Fingerprint

robotics
inspection
robots
vehicles
supplying
defects
inference
payloads
positioning
transducers
filters

Keywords

  • wireless robotic inspection vehicles
  • NDE payloads
  • particle filter approach
  • nondestructive testing
  • robot dynamics
  • ultrasonic transducers
  • probability

Cite this

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title = "A probabilistic approach to robotic NDE inspection",
abstract = "The application of wireless robotic inspection vehicles equipped with different NDE payloads has been introduced previously, with emphasis placed on inspection applications in hazardous and inaccessible environments. A particular challenge to the practical application of such robotic inspection lies in the localization of the devices. The authors here consider a probabilistic approach to both the positioning and defect problems by using the location of the robot and the NDE measurements (acquired from the onboard transducers) to make inference about defect existence and position. Using a particle filter approach running locally on the robots, the vehicle location is tracked by fusing noisy redundant data sets supplying positional information.",
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A probabilistic approach to robotic NDE inspection. / Summan, R.; Dobie, G.; Hensman, J.; Pierce, S.G.; Worden, K.

In: American Institute of Physics Conference Proceedings, Vol. 1211, No. 1, 1999, 22.02.2010.

Research output: Contribution to journalConference Contribution

TY - JOUR

T1 - A probabilistic approach to robotic NDE inspection

AU - Summan, R.

AU - Dobie, G.

AU - Hensman, J.

AU - Pierce, S.G.

AU - Worden, K.

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N2 - The application of wireless robotic inspection vehicles equipped with different NDE payloads has been introduced previously, with emphasis placed on inspection applications in hazardous and inaccessible environments. A particular challenge to the practical application of such robotic inspection lies in the localization of the devices. The authors here consider a probabilistic approach to both the positioning and defect problems by using the location of the robot and the NDE measurements (acquired from the onboard transducers) to make inference about defect existence and position. Using a particle filter approach running locally on the robots, the vehicle location is tracked by fusing noisy redundant data sets supplying positional information.

AB - The application of wireless robotic inspection vehicles equipped with different NDE payloads has been introduced previously, with emphasis placed on inspection applications in hazardous and inaccessible environments. A particular challenge to the practical application of such robotic inspection lies in the localization of the devices. The authors here consider a probabilistic approach to both the positioning and defect problems by using the location of the robot and the NDE measurements (acquired from the onboard transducers) to make inference about defect existence and position. Using a particle filter approach running locally on the robots, the vehicle location is tracked by fusing noisy redundant data sets supplying positional information.

KW - wireless robotic inspection vehicles

KW - NDE payloads

KW - particle filter approach

KW - nondestructive testing

KW - robot dynamics

KW - ultrasonic transducers

KW - probability

U2 - 10.1063/1.3362357

DO - 10.1063/1.3362357

M3 - Conference Contribution

VL - 1211

JO - AIP Conference Proceedings

T2 - AIP Conference Proceedings

JF - AIP Conference Proceedings

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