Open access peer-reviewed chapter

Motion Planning for Mobile Robots Via Sampling-Based Model Predictive Optimization

By Damion D. Dunlap, Charmane V. Caldwell, Emmanuel G. Collins, Jr. and Oscar Chuy

Submitted: October 22nd 2010Reviewed: July 25th 2011Published: December 14th 2011

DOI: 10.5772/17790

Downloaded: 2372

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Damion D. Dunlap, Charmane V. Caldwell, Emmanuel G. Collins, Jr. and Oscar Chuy (December 14th 2011). Motion Planning for Mobile Robots Via Sampling-Based Model Predictive Optimization, Recent Advances in Mobile Robotics Andon Topalov, IntechOpen, DOI: 10.5772/17790. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/recent-advances-in-mobile-robotics/motion-planning-for-mobile-robots-via-sampling-based-model-predictive-optimization" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

2372total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Fictitious Fuzzy-Magnet Concept in Solving Mobile–Robot Target Navigation, Obstacle Avoidance and Garaging Problems

By Srđan T. Mitrović and Željko M. Ðurović

Related Book

First chapter

Experimental Results on Variable Structure Control for an Uncertain Robot Model

By K. Bouyoucef1 K. Khorasani and M. Hamerlain

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us