Skip to main content

Harmony Search Optimization Algorithm: Application to a Reconfigurable Mobile Robot Prototype

  • Chapter
Recent Advances In Harmony Search Algorithm

Part of the book series: Studies in Computational Intelligence ((SCI,volume 270))

Abstract

The terrain of the mobile robot provides the only and powerful thrust. Therefore, the optimal prototype design with respect to the terrain is important for the robot in the sandlot or soft soiled environments. In this chapter, a Harmony Search Multi-Objective Optimization (HSMOO) with constraints is proposed to the design of a reconfigurable mobile robot with respect to the terramechanics, and the optimal configuration prototype is then obtained. The actual condition shows that in the process of mobile robot design and manufacture, the HSMOO is effective to the issue of the mobile robot reconfiguration.

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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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. Apostolopoulos, D.: Systematic configuration of robotic locomotion. Technical Report CMU-RI-TR-96-30, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (1996)

    Google Scholar 

  2. Jet Propulsion Laboratory. Mars Pathfinder. News Online (1998), http://mars.jpl.nasa.gov/MPF/index1.html (accessed 8 April 1998)

  3. Jet Propulsion Laboratory. Mars Exploration Program. News Online (2000), http://mpfwww.jpl.nasa.gov/ (accessed November 2000)

  4. Sreenivasan, S.V., Wilcox, B.H.: Stability and traction control of an actively actuated micro- rover. Journal of Robotic Systems 11, 487–502 (1994)

    Article  Google Scholar 

  5. Kubota, T., Kuroda, Y., Kunii, Y.: Micro planetary rover Micro5. In: 5th International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS 1999), Noordwijk, Netherlands, June 1-3 (1999)

    Google Scholar 

  6. Shigeo, H.: Super-mechano-colony and SMC rover with detachable wheel units. In: COE Workshop 1999, Tokyo, Japan, August 20-24 (1999)

    Google Scholar 

  7. Apostolopoulos, D.: Analytical configuration of wheeled robotic locomotion. Technical Report CMU-RI-TR-01-08, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (2001)

    Google Scholar 

  8. Zhuang, J.D.: Biomimetics wheel simulating a camera feet. In: Zhuang, J.D. (ed.) dvanced Technology of Tire. Beijing Machine Industry Press, Beijing (2001)

    Google Scholar 

  9. Chen, Z.: Research of a compound walking wheel having retractile laminas with application to lunar rover. Master thesis, Jilin University (2007)

    Google Scholar 

  10. Fu, Y., Xu, H., Ma, Y.: A navigation robot with reconfigurable chassis and bionic wheel. In: IEEE International Conference on Robotics and Biomimetics (ROBIO 2004), Shenyang, China, August 22-25 (2004)

    Google Scholar 

  11. Xu, H., Tan, D.W., Zhang, Z.Y.: Optimization of mobile robot based on projection method and harmony search. In: IEEE International Conference on Robotics and Biomimetics (ROBIO 2004), Bangkok, Thailand, February 21-26 (2008)

    Google Scholar 

  12. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76, 60–68 (2001)

    Article  Google Scholar 

  13. Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 188, 1567–1579 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  14. Gao, X.Z., Wang, X., Ovaska, S.J.: Harmony search methods for multi-modal and constrained optimization. In: Geem, Z.W. (ed.) Music-Inspired Harmony Search Algorithms. Springer, Berlin (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Xu, H., Gao, X.Z., Wang, T., Xue, K. (2010). Harmony Search Optimization Algorithm: Application to a Reconfigurable Mobile Robot Prototype. In: Geem, Z.W. (eds) Recent Advances In Harmony Search Algorithm. Studies in Computational Intelligence, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04317-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04317-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04316-1

  • Online ISBN: 978-3-642-04317-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics