Skip to main content

Double A* Path Planning for Industrial Manipulators

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 418))

Abstract

The scientific and technological development, together with the world of robotics, is constantly evolving, driven by the need to find new solutions and by the ambition of human beings to develop systems with increasingly efficiency. Consequently, it is necessary to develop planning algorithms capable of effectively and safely move a robot within a given non structured scene. Moreover, despite of the several robotic solutions available, there are still challenges to standardise a development technique able to obviate some pitfalls and limitations present in the robotic world. The Robotic Operative System (ROS) arise as the obvious solution in this regard. Throughout this project it was developed and implemented a double A* path planning methodology for automatic manipulators in the industrial environment. In this paper, it will be presented an approach with enough flexibility to be potentially applicable to different handling scenarios normally found in industrial environment.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barraquand, J., Latombe, J.C.: Robot motion planning. a distributed representation approach. International Journal of Robotics Research 10(6), 628–649 (1991)

    Article  Google Scholar 

  2. Bischoff, R., Kurth, J., Schreiber, G., Koeppe, R., Albu-Schaeffer, A., Beyer, A., Eiberger, O., Haddadin, S., Stemmer, A., Grunwald, G., Hirzinger, G.: The KUKA-DLR lightweight robot arm - a new reference platform for robotics research and manufacturing. In: 2010 41st International Symposium on Robotics (ISR) and 2010 6th German Conference on Robotics (ROBOTIK), pp. 1–8 (2010)

    Google Scholar 

  3. Chen, H.P., Wang, J.J., Zhang, G., Fuhlbrigge, T., Kock, S.: High-precision assembly automation based on robot compliance. International Journal of Advanced Manufacturing Technology 45(9–10), 999–1006 (2009)

    Article  Google Scholar 

  4. Chua, P.Y., Ilschner, T., Caldwell, D.G.: Robotic manipulation of food products - a review. Industrial Robot-an International Journal 30(4), 345–354 (2003)

    Article  Google Scholar 

  5. Daoud, S., Chehade, H., Yalaoui, F., Amodeo, L.: Efficient metaheuristics for pick and place robotic systems optimization. Journal of Intelligent Manufacturing 25(1), 27–41 (2014)

    Article  Google Scholar 

  6. Foundation, O.S.R.: Why gazebo? (2014). http://gazebosim.org/

  7. Gecks, T., Henrich, D., Ieee: human-robot cooperation: safe pick-and-place operations. In: 2005 IEEE International Workshop on Robot and Human Interactive Communication. Ieee, New York (2005)

    Google Scholar 

  8. Hvilshoj, M., Bogh, S.: “little helper” - an autonomous industrial mobile manipulator concept. International Journal of Advanced Robotic Systems 8(2), 80–90 (2011)

    Google Scholar 

  9. Hwang, Y.K., Ahuja, N.: Gross motion planning - a survey. ACM Computing Surveys 24(3) (1992)

    Google Scholar 

  10. Jiang, X., Koo, K.M., Kikuchi, K., Konno, A., Uchiyama, M., Ieee: robotized assembly of a wire harness in car production line. In: Ieee/Rsj 2010 International Conference on Intelligent Robots and Systems (Iros 2010), pp. 490–495 (2010)

    Google Scholar 

  11. Kim, J.H.: Automated medicine storage and medicine introduction/discharge management system, October 9, 2012. US Patent 8,281,553

    Google Scholar 

  12. Mattone, R., Campagiorni, G., Galati, F.: Sorting of items on a moving conveyor belt. part i. a technique for detecting and classifying objects. Robotics and Computer-Integrated Manufacturing 16(2–3), 73–80 (2000)

    Article  Google Scholar 

  13. Mattone, R., Divona, M., Wolf, A.: Sorting of items on a moving conveyor belt. part 2: performance evaluation and optimization of pick-and-place operations. Robotics and Computer-Integrated Manufacturing 16(2–3), 81–90 (2000)

    Article  Google Scholar 

  14. Merlet, J.P.: Direct kinematics of parallel manipulators. IEEE Transactions on Robotics and Automation 9(6), 842–846 (1993)

    Article  Google Scholar 

  15. Mikael, H., Erik, H., Mats, J.: Robotics for SMEs - investigating a mobile, flexible, and reconfigurable robot solution. In: 39th International Symposium on Robotics, ISR 2008, pp. 56–61

    Google Scholar 

  16. Ralli, E., Hirzinger, G.: Fast path planning for robot manipulators using numerical potential fields in the configuration space, vol. 3, pp. 1922–1929 (1994)

    Google Scholar 

  17. Son, C.: Intelligent robotic path finding methodologies with fuzzy/crisp entropies and learning. International Journal of Robotics and Automation 26(3), 323–336 (2011)

    Article  Google Scholar 

  18. Son, C.M.: Optimal control planning strategies with fuzzy entropy and sensor fusion for robotic part assembly tasks. International Journal of Machine Tools & Manufacture 42(12), 1335–1344 (2002)

    Article  MathSciNet  Google Scholar 

  19. Wang, L.D., Ren, L., Mills, J.K., Cleghorn, W.L.: Automated 3-d micrograsping tasks performed by vision-based control. Ieee Transactions on Automation Science and Engineering 7(3), 417–426 (2010)

    Article  Google Scholar 

  20. Westhead, P., Wright, M., Ucbasaran, D.: The internationalization of new and small firms: A resource-based view. Journal of Business Venturing 16(4), 333–358 (2001)

    Article  Google Scholar 

  21. Yao, L., Ding, W., Chen, Y., Zhao, S.: Obstacle avoidance path planning of eggplant harvesting robot manipulator. Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery 39(11), 94–98 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pedro Tavares .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Tavares, P., Lima, J., Costa, P. (2016). Double A* Path Planning for Industrial Manipulators. In: Reis, L., Moreira, A., Lima, P., Montano, L., Muñoz-Martinez, V. (eds) Robot 2015: Second Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-319-27149-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27149-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27148-4

  • Online ISBN: 978-3-319-27149-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics