Efficient Multi-Agent Path Planning-Reference-Cited by-同舟云学术

Efficient Multi-Agent Path Planning

Published:2001 Issue: Volume: Page:151-162
ISSN:0946-2767
Container-title:Eurographics
language:
Short-container-title:

Author:

Arikan Okan,Chenney Stephen,Forsyth D. A.

Publisher

Springer Vienna

Link

http://link.springer.com/content/pdf/10.1007/978-3-7091-6240-8_14.pdf

Reference16 articles.

1. J. Barraquand and J. Latombe. A monte-carlo algorithm for path planning with many degrees of freedom. In IEEE Int. Conf. Robot. & Autom., pages 1712–1717, 1990.257,1990.

2. Michael Batty, Bin Jiang, and Mark Thurstain-Goodwin. Working paper 4: Local movement: Agent-based models of pedestrian flows. Working Paper from the Center for Advanced Spatial Analysis, University College London, 1998.

3. Christopher M. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, 1995.

4. Stephen Chenney, Okan Arikan, and D.A. Forsyth. Proxy simulations for efficient dynamics. To appear in Eurographics 2001, Short Presentations.

5. B. Faverjon and P. Toumassoud. A local based approach for path planning of manipulators with a high number of degrees of freedom, int. conf. robotics & automation, 1987.

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