Research on path planning of mobile robot based on improved ant colony algorithm-Reference-Cited by-同舟云学术

Research on path planning of mobile robot based on improved ant colony algorithm

Published:2019-04-09 Issue:6 Volume:32 Page:1555-1566
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Luo Qiang,Wang Haibao,Zheng Yan,He Jingchang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04172-2.pdf

Reference26 articles.

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2. Zhu TX, Dong GJ, Yan BX et al (2016) Research for the path planning of the agricultural robot based on the improved ant colony algorithm. J Agric Mech Res 9:48–52

3. Luo Q, Wang HB, Cui XJ et al (2018) Research on autonomous navigation system of warehousing mobile robot based on improved artificial potential field method in dynamic environment. Appl Res Comput. https://doi.org/10.3969/j.issn.1001-3695.2018.09.0640

4. Akka K, Khaber F (2018) Mobile robot path planning using an improved ant colony optimization. Int J Adv Robot Syst. https://doi.org/10.1177/1729881418774673

5. Liu J, Yang JG, Liu HP et al (2017) An improved ant colony algorithm for robot path planning. Soft Comput 21:5829–5839

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