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Adaptive path finding algorithm in dynamic environment for warehouse robot

  • S.I. : Green and Human Information Technology 2019
  • Published:
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Abstract

Warehouse robots have been widely used by manufacturers and online retailer to automate good delivery process. One of the fundamental components when designing a warehouse robot is path finding algorithm. In the past, many path finding algorithms had been proposed to identify the optimal path and improve the efficiency in different conditions. For example, A* path finding algorithm is developed to obtain the shortest path, while D* obtains a complete coverage path from source to destination. Although these algorithms improved the efficiency in path finding, dynamic obstacle that may exist in warehouse environment was not considered. This paper presents AD* algorithm, a path finding algorithm that works in dynamic environment for warehouse robot. AD* algorithm is able to detect not only static obstacle but also dynamic obstacles while operating in warehouse environment. In dynamic obstacle path prediction, image of the warehouse environment is processed to identify and track obstacles in the path. The image is pre-processed using perspective transformation, dilation and erosion. Once obstacle has been identified using background subtraction, the server will track and predict future path of the dynamic object to avoid the obstacle.

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Acknowledgements

This research was supported by Publication Fund under Research Creativity and Management Office, Universiti Sains Malaysia.

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Mun-Kit Ng

  2. National Advanced IPv6 Centre, Universiti Sains Malaysia, George Town, Malaysia

    Yung-Wey Chong

  3. Department of Computer Science and Engineering, Sangji University, Wonju, South Korea

    Kwang-man Ko

  4. Division of Computer Science, Sookmyung Women’s University, Seoul, South Korea

    Young-Hoon Park

  5. Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Yu-Beng Leau

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  1. Mun-Kit Ng
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Correspondence to Yung-Wey Chong.

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Ng, MK., Chong, YW., Ko, Km. et al. Adaptive path finding algorithm in dynamic environment for warehouse robot. Neural Comput & Applic 32, 13155–13171 (2020). https://doi.org/10.1007/s00521-020-04764-3

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  • DOI: https://doi.org/10.1007/s00521-020-04764-3

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