Background on Artificial Intelligence Algorithms for Global Path Planning-Reference-Cited by-同舟云学术

Background on Artificial Intelligence Algorithms for Global Path Planning

Published:2018 Issue: Volume: Page:13-51
ISSN:1860-949X
Container-title:Robot Path Planning and Cooperation
language:
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Author:

Koubaa Anis,Bennaceur Hachemi,Chaari Imen,Trigui Sahar,Ammar Adel,Sriti Mohamed-Foued,Alajlan Maram,Cheikhrouhou Omar,Javed Yasir

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-77042-0_2

Reference112 articles.

1. Latombe, Jean claude. 1991. Robot motion planning. The Springer International Series in Engineering and Computer Science.

2. Šeda, Miloš. 2007. Roadmap methods versus cell decomposition in robot motion planning. In Proceedings of the 6th WSEAS international conference on signal processing, robotics and automation, 127–132. World Scientific and Engineering Academy and Society (WSEAS).

3. Yan, Zhi, Nicolas Jouandeau, and Arab Ali Cherif. 2013. Acs-prm: Adaptive cross sampling based probabilistic roadmap for multi-robot motion planning. In Intelligent autonomous systems 12, 843–851. Springer.

4. Nazif, Ali Nasri, Alireza Davoodi, and Philippe Pasquier. 2010. Multi-agent area coverage using a single query roadmap: A swarm intelligence approach. In Advances in practical multi-agent systems, 95–112. Springer.

5. Rosell, Jan, and Pedro Iniguez. 2005. Path planning using harmonic functions and probabilistic cell decomposition. In Proceedings of the 2005 IEEE international conference on robotics and automation. ICRA 2005, 1803–1808. IEEE.

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