• DocumentCode
    2848451
  • Title

    Automated industrial robot path planning for spray painting process: A review

  • Author

    Chen, Heping ; Fuhlbrigge, Thomas ; Li, Xiongzi

  • Author_Institution
    Robot. & Autom. Lab., ABB Corp. Res. Center, Windsor, CT
  • fYear
    2008
  • fDate
    23-26 Aug. 2008
  • Firstpage
    522
  • Lastpage
    527
  • Abstract
    Industrial robots are widely used to paint final products in many industries, such as automotive and furniture etc. Robot path planning based on the CAD models of parts for spray painting is critical for product quality, process cycle time and material waste etc. Currently automated robot path planning has always caused a bottleneck for the spray painting processes because typical manual teaching methods are time consuming, error-prone and skill dependent. Thus, it is essential to develop automated tool path planning methods to replace manual tool path planning ones in order to reduce the cost and improve product quality. This challenging research topic has been receiving more and more attention from both academia and industry. Therefore, a review of automated tool path planning methods is necessary to investigate the advantages and disadvantages of the current techniques.
  • Keywords
    CAD/CAM; industrial robots; machine tools; mobile robots; painting; path planning; process control; process planning; spraying; CAD models; automated industrial robot path planning; automated tool path planning methods; material waste; process cycle time; product quality; spray painting process; uniform material distribution constraints; Automotive engineering; Education; Educational robots; Painting; Paints; Path planning; Robotics and automation; Service robots; Spraying; Waste materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2022-3
  • Electronic_ISBN
    978-1-4244-2023-0
  • Type

    conf

  • DOI
    10.1109/COASE.2008.4626515
  • Filename
    4626515