Skip to main content

Optimizing Trajectory Points for High Speed Robot Assembly Operations

  • Conference paper
  • First Online:
Book cover Advances in Robot Design and Intelligent Control

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 371))

Abstract

The work presented in this paper reports a research done in order to optimize the relation speed—trajectory length for a complex robotic assembly task. The assembly task consists in fixing an engine part with 8 screws, the screws being already inserted and pre-fixed but not tightened; in some cases the screws must be screwed for a length of 1 cm, and then tightened at 25 Nm. The operation duration (cycle time) should be of maximum 45 s measured from the time the pallet enters in the working area until the pallet exits the working area. Due to the conveyor operation which takes 12 s to place the pallet in the working position and to remove the pallet from the working area, only 33 s remain for the robot operation including the operation time of the screwdriver placed on the robot. The solution is based on developing an algorithm that uses the dynamics equations of the robot to compute the time needed to accomplish the task, based on the load of the robot and the stop points on the trajectory.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Carlson, J.S., Spensieri, D., Wärmefjord, K., Segeborn, J., R. Söderberg: Minimizing dimensional variation and robot traveling time in welding stations, Procedia CIRP. 23, 77–82 (2014)

    Google Scholar 

  2. Huang, Y., Chiba, R., Arai, T., Ueyama, T., Ota, J.: Robust multi-robot coordination in pick-and-place tasks based on part-dispatching rules. Robot. Auton. Syst. 64, 70–83 (2015)

    Google Scholar 

  3. Abdel-Malek, L.L., Li, Z.: Robot location for minimum cycle time. Eng Costs Prod Econ 17(1–4), 29–34 (1989)

    Article  Google Scholar 

  4. Nilakantan, J.M., Huang, G.Q., Ponnambalam, S.G.: An investigation on minimizing cycle time and total energy consumption in robotic assembly line systems. J. Clean. Prod. 90(1), 311–325 (2015)

    Google Scholar 

  5. Björkenstam, S., Spensieri, D., Carlson, J.S., Bohlin, R., Gleeson, D.: Efficient sequencing of industrial robots through optimal control. Procedia CIRP, 23, 194–199 (2014)

    Google Scholar 

  6. Fung, R.-F., Cheng, Y.-H.: Trajectory planning based on minimum absolute input energy for an LCD glass-handling. Appl Math Model 38(11–12), 2837–2847 (2014)

    Article  MathSciNet  Google Scholar 

  7. Paes, K., Dewulf, W., Van der Elst, K., Kellens, K., Slaets, P.: Energy efficient trajectories for an industrial ABB robot. Procedia CIRP. 15, 105–110 (2014)

    Google Scholar 

  8. Todtermuschke, M., Findeisen, Bauer, M.A.: Methodology for creation a reference trajectory for energetic comparability of industrial robots in body shop. Procedia CIRP. 23, 122–126 (2014)

    Google Scholar 

  9. http://cadfiles.desouttertools.com/files/0003-Documentation/0100-CVI_Range_Tools_-_Controllers_-_Accessories/0140-Fixtured_Electric_Spindles_EM-EME/0141-In-Line/0001-EME_%28One_cable%29/EME38-20J_6159933813-02_pdf.pdf

  10. Corke, P.I.: Robotics, vision and control, Springer, Berlin. ISBN 978-3-642-20143-1 (2011)

    Google Scholar 

  11. http://www.mathworks.com/matlabcentral/fileexchange/22409-stl-file-reader

  12. https://www.youtube.com/watch?v=fa7GwwA3498

  13. Jin, J., Gans, N.: Parameter identification for industrial robots with a fast and robust trajectory design approach. Robotics and Computer-Integrated Manufacturing 31, 21–29 (2015)

    Article  Google Scholar 

  14. Menasri, R., Nakib, A., Daachi, B., Oulhadj, H., Siarry, P.: A trajectory planning of redundant manipulators based on bilevel. Appl. Math. Comput. 250(1), 934–947 (2015)

    Google Scholar 

  15. Abu-Dakka, F.J., Rubio, F., Valero, F., Mata, V.: Evolutionary indirect approach to solving trajectory planning problem for industrial robots operating in workspaces with obstacles. Eur. J. Mech. A. Solids. 42, 210–218 (2013)

    Google Scholar 

  16. Kohrt, C., Stamp, R., Pipe, A.G., Kiely, J., Schiedermeier, G.: An online robot trajectory planning and programming support system for industrial use. Robotics and Computer-Integrated Manufacturing 29(1), 71–79 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Florin Anton .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Anton, F., Anton, S., Raileanu, S., Borangiu, T. (2016). Optimizing Trajectory Points for High Speed Robot Assembly Operations. In: Borangiu, T. (eds) Advances in Robot Design and Intelligent Control. Advances in Intelligent Systems and Computing, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-319-21290-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21290-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21289-0

  • Online ISBN: 978-3-319-21290-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics