Practical probabilistic trajectory planning scheme based on the Rapidly-Exploring Random Trees for two-wheeled mobile robots-Reference-Cited by-同舟云学术

Practical probabilistic trajectory planning scheme based on the Rapidly-Exploring Random Trees for two-wheeled mobile robots

Published:2016-05 Issue:5 Volume:17 Page:591-596
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Moon Chang-bae,Chung Woojin

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12541-016-0071-3.pdf

Reference29 articles.

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2. Choset, H., Lynch, K. M., Hutchinson, S., Kantor, G., Burgard, W., et al., “Principles of Robot Motion: Theory,” MIT Press, pp. 197–268, 2005.

3. LaValle, S. M., “Planning Algorithms,” Cambridge University Press, pp. 651–711, 2006.

4. Konolige, K., “A Gradient Method for Realtime Robot Control,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol. 1, pp. 639–646, 2000.

5. LaValle, S. M. and Kuffner, J. J., “Randomized Kinodynamic Planning,” The International Journal of Robotics Research, Vol. 20, No. 5, pp. 378–400, 2001.

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