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Adaptive Bacterial Foraging Algorithm and Its Application in Mobile Robot Path Planning

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Bio-inspired Computing – Theories and Applications (BIC-TA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 682))

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Abstract

This work considered the utilization of biomimicry of bacterial foraging strategy to develop an adaptive control strategy for mobile robot, and proposed a bacterial foraging approach for robot path planning. In the proposed model, robot that mimics the behavior of bacteria is able to determine an optimal collision-free path between a start and a target point in the environment surrounded by obstacles. In the simulation studies, a test scenario of static environment with different number obstacles is adopted to evaluate the performance of the proposed method. Simulation results show that the robot which reflects the bacterial foraging behavior can adapt to complex environments in the planned trajectories with both satisfactory accuracy and stability.

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Author information

Authors and Affiliations

  1. Tianjin Polytechnic University, Tianjin, 300160, China

    Xiaodan Liang, Maowei He & Hanning Chen

Authors
  1. Xiaodan Liang
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  2. Maowei He
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  3. Hanning Chen
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Corresponding author

Correspondence to Hanning Chen .

Editor information

Editors and Affiliations

  1. Xidian University , Xi’an, China

    Maoguo Gong

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. China University of Petroleum, Qingdao, China

    Tao Song

  4. Southwest Jiaotong University , Chengdu, China

    Gexiang Zhang

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© 2016 Springer Nature Singapore Pte Ltd.

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Liang, X., He, M., Chen, H. (2016). Adaptive Bacterial Foraging Algorithm and Its Application in Mobile Robot Path Planning. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_29

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  • DOI: https://doi.org/10.1007/978-981-10-3614-9_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3613-2

  • Online ISBN: 978-981-10-3614-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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