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An Effective Trajectory Planning for a Material Handling Robot Using PSO Algorithm

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Computational Intelligence in Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 990))

Abstract

This paper utilizes the potentiality of PSO algorithm to design and optimize the trajectory for a material handling robot. This approach is based on the behavior of fish schooling and birds flocking. Layout of the Institute machine shop is selected as an environment for determining the trajectory length. Total fifteen numbers of obstacles (machines) are acknowledged during this analysis. The selected approach not only delivers curtail path length but also generates a traffic-free trajectory. The material handling robot is not colliding with any machines during movement. The programming codes for the selected approach are written, compiled, and run through a software: MATLAB.

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Author information

Authors and Affiliations

  1. Production Engineering Department, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, 759146, Odisha, India

    S. Pattanayak

  2. Mechanical Engineering Department, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, 759146, Odisha, India

    B. B. Choudhury

Authors
  1. S. Pattanayak
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  2. B. B. Choudhury
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Corresponding author

Correspondence to S. Pattanayak .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  3. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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Pattanayak, S., Choudhury, B.B. (2020). An Effective Trajectory Planning for a Material Handling Robot Using PSO Algorithm. In: Behera, H., Nayak, J., Naik, B., Pelusi, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-13-8676-3_7

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