A Method for Learning a Fault Detection Model from Component Communication Data in Robotic Systems

R Golombek; S Wrede; Marc Hanheide; M Heckmann

A Method for Learning a Fault Detection Model from Component Communication Data in Robotic Systems

R Golombek, S Wrede, Marc Hanheide, M Heckmann

Computer Science

Research output: Contribution to conference (unpublished) › Paper

Original language	English
Pages	9-14
Number of pages	6
Publication status	Published - 1 Jun 2010
Event	Proceedings of the Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments (DRHE 2010) - Duration: 1 Jun 2010 → …

Conference

Conference	Proceedings of the Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments (DRHE 2010)
Period	1/06/10 → …

Cite this

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title = "A Method for Learning a Fault Detection Model from Component Communication Data in Robotic Systems",

author = "R Golombek and S Wrede and Marc Hanheide and M Heckmann",

year = "2010",

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day = "1",

language = "English",

pages = "9--14",

note = "Proceedings of the Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments (DRHE 2010) ; Conference date: 01-06-2010",

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TY - CONF

T1 - A Method for Learning a Fault Detection Model from Component Communication Data in Robotic Systems

AU - Golombek, R

AU - Wrede, S

AU - Hanheide, Marc

AU - Heckmann, M

PY - 2010/6/1

Y1 - 2010/6/1

M3 - Paper

SP - 9

EP - 14

T2 - Proceedings of the Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments (DRHE 2010)

Y2 - 1 June 2010

ER -