Cooperative Localization Using Fuzzy DDEIF and Broad Learning System for Uncertain Heterogeneous Omnidirectional Multi-robots

Author:

Tsai Ching-Chih,Hsu Ching-Fu,Wu Chung-Wei,Tai Feng-Chun

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference14 articles.

1. Parker, L.E.: Distributed intelligence: overview of the field and its application in multi-robot systems. J. Phys. Agents 2(1), 1–14 (2008)

2. Tsai, C.C., Chan, C.C., Tai, F.C.: Cooperative localization using fuzzy decentralized extended information filtering for homogenous omnidirectional mobile multi-robot system. In: Proc. of 2015 Intern. Conf. on Syst. Science and Eng., Morioka, Japan, 6–8 July, 2015

3. Tan, Y.M.: Fuzzy decentralized cooperative global localization for a multi-ballbot system. MS Thesis, Department of Electrical Engineering, National Chung Hsing University (2016)

4. Yang, G.H.: Cooperative global pose estimation and localization for a heterogeneous omnidirectional multirobot system using fuzzy distributed and decentralized filtering. MS Thesis, Department of Electrical Engineering, National Chung Hsing University (2018)

5. Wang, Y., de Silva, C.W.: Sequential Q-Learning with Kalman filtering for multirobot cooperative transportation. IEEE/ASME Trans. Mechatron. 15(2), 261–268 (2010)

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