Skip to main content

A Self-organized Approach to Collaborative Handling of Multi-robot Systems

  • Conference paper
Advances in Swarm Intelligence (ICSI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6729))

Included in the following conference series:

  • 2042 Accesses

Abstract

The purpose of this paper is to develop a general self-organized approach to multi-robot’s collaborative handling problem. Firstly, an autonomous motion planning graph (AMP-graph) is described for individual movement representations. An individual autonomous motion rule (IAM-rule) based on “free-loose” and “well-distributed load-bearing” preferences is presented. By establishing the simple and effective individual rule model, an ideal handling formation can be formed by each robot moving autonomously under their respective preferences. Finally, the simulations show that both the AMP-graph and the IAM-rule are valid and feasible. On this basis, the self-organized approach to collaborative hunting and handling with obstacle avoidance of multi-robot systems can be further analyzed effectively.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kim, K.I., Zheng, Y.F.: Two Strategies of Position and Force Control for Two Industrial Robots Handling a Single Object. Robotics and Autonomous Systems 5, 395–403 (1989)

    Article  Google Scholar 

  2. Kosuge, K., Oosumi, T.: Decentralized Control of Multiple Robots Handling an Object. In: IEEE/ RJS Int.Conf. on Intelligent Robots and Systems, vol. 1, pp. 318–323 (1996)

    Google Scholar 

  3. Yamashita, A., Arai, T., et al.: Motion Planning of Multiple Mobile Robots for Cooperative Manipulation and Transportation. IEEE Transactions on Robotics and Automation 19(2) (2003)

    Google Scholar 

  4. Koga, M., Kosuge, K., Furuta, K., Nosaki, K.: Coordinated Motion Control of Robot Arms Based on the Virtual International Model. IEEE Transactions on Robotics and Autonomous Systems 8 (1992)

    Google Scholar 

  5. Wang, Z., Nakano, E., Matsukawa, T.: Cooperating Multiple Behavior-Based Robots for Object Manipulation. In: IEEE /RSJ/GI International Conference on Intelligent Robots and Systems IROS 1994, vol. 3, pp. 1524–1531 (1994)

    Google Scholar 

  6. Huang, T.-y., Wang, X.-n., Chen, X.-b.: Multirobot Time-optimal Handling Method Based on Formation Control. Journal of System Simulation 22, 1442–1465 (2010)

    Google Scholar 

  7. Kosuge, K., Taguchi, D., Fukuda, T., Sakai, M., Kanitani, K.: Decentralized Coordinated Motion Control of Manipulators with Vision and Force Sensors. In: Proc. of 1995 IEEE Int. Conf. on Robotics and Automation, vol. 3, pp. 2456–24162 (1995)

    Google Scholar 

  8. Jadbabaie, A., Lin, J., Morse, A.S.: Coordination of Groups of Mobile Autonomous Agents Using Nearest Neighbor Rules. IEEE Transactions on Automatic Control 48, 988–1001 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  9. Turgut, A.E., Çelikkanat, H., Gökçe, F., Şahin, E.: Self-organized Flocking in Mobile Robot Swarms. Swarm Intelligence 2, 97–120 (2008)

    Article  Google Scholar 

  10. Gregoire, G., Tu, H.C.Y.: Moving and Staying Together Without a Leader. Physica D 181, 157–170 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  11. Xu, W.B., Chen, X.B.: Artificial Moment Method for Swarm Robot Formation Control. Science in China Series F: Information Sciences 51(10), 1521–1531 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  12. Balcht, T., Arkin, R.C.: Behavior-based Formation Control for Multi-robot Teams. IEEE Transactions on Robotics and Automation 14, 926–939 (1998)

    Article  Google Scholar 

  13. Lawton, J.R., Beard, R.W., Young, B.J.: A Decentralized Approach to Formation Maneuvers. IEEE Transactions on Robotics and Automation 19, 933–941 (2003)

    Article  Google Scholar 

  14. Das, A.K., Fierro, R., et al.: A vision-based formation control framework. IEEE Transactions on Robotics and Automation 18, 813–825 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huang, Ty., Chen, Xb., Xu, Wb., Wang, W. (2011). A Self-organized Approach to Collaborative Handling of Multi-robot Systems. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21524-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21524-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21523-0

  • Online ISBN: 978-3-642-21524-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics