Skip to main content
placeholder image

3D mapping using a ToF camera for self programming an industrial robot

Conference Paper


Abstract


  • Automated Offline Programing (AOLP) is a cost

    effective robot programming method. However, it relies on

    accurate CAD information of the work environment to perform

    optimally. Incorrect CAD data is a known source of error for

    AOLP systems. This paper introduces a new sensor based

    method of programming that extends the concept of AOLP.

    Using a ToF camera to map the environment, there is no

    reliance on CAD data. The problem of motion planning to

    efficiently map the environment is examined and changes to the

    motion planning algorithm are proposed and tested.

Publication Date


  • 2013

Citation


  • Larkin, N., Pan, Z., van Duin, S. & Norrish, J. (2013). 3D mapping using a ToF camera for self programming an industrial robot. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 494-499). United States: IEEE.

Scopus Eid


  • 2-s2.0-84883678151

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1250

Has Global Citation Frequency


Start Page


  • 494

End Page


  • 499

Place Of Publication


  • United States

Abstract


  • Automated Offline Programing (AOLP) is a cost

    effective robot programming method. However, it relies on

    accurate CAD information of the work environment to perform

    optimally. Incorrect CAD data is a known source of error for

    AOLP systems. This paper introduces a new sensor based

    method of programming that extends the concept of AOLP.

    Using a ToF camera to map the environment, there is no

    reliance on CAD data. The problem of motion planning to

    efficiently map the environment is examined and changes to the

    motion planning algorithm are proposed and tested.

Publication Date


  • 2013

Citation


  • Larkin, N., Pan, Z., van Duin, S. & Norrish, J. (2013). 3D mapping using a ToF camera for self programming an industrial robot. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 494-499). United States: IEEE.

Scopus Eid


  • 2-s2.0-84883678151

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1250

Has Global Citation Frequency


Start Page


  • 494

End Page


  • 499

Place Of Publication


  • United States