Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments-Reference-Cited by-同舟云学术

Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments

Published:2019-11-28 Issue: Volume: Page:319-328
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Singh Ngangbam Herojit,Devi Salam Shuleenda,Thongam Khelchandra

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0035-0_25

Reference12 articles.

1. Chen, W., Wu, X., Lu, Y., et al.: An improved path planning method based on artificial potential field for a mobile robot. Cybern. Inf. Technol. 15, 181–191 (2015)

2. Weerakoon, T., Ishii, K., Nassiraei, A.A., et al.: An artificial potential field based mobile robot navigation method to prevent from deadlock. J. Artif. Intell. Soft Comput. Res. 5, 189–203 (2015)

3. Chen, Y.B., Luo, G.C., Mei, Y.S., Yu, J.Q., Su, X.L., et al.: UAV path planning using artificial potential field method updated by optimal control theory. Int. J. Syst. Sci. 47, 1407–1420 (2016)

4. Pandey, A., Kumar, S., Pandey, K.K., Parhi, D.R., et al.: Mobile robot navigation in unknown static environments using ANFIS controller. Perspect. Sci. 8, 421–423 (2016)

5. Zunli, N., Xuejun, Z., Xiangmin, G., et al.: UAV formation flight based on artificial potential force in 3D environment. In: 29th Chinese Control and Decision Conference (CCDC) 28–30 May 2017. Chongqing, China (2017)

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