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May 7, 2026MachinesOpen Access

Autonomous Dispatch of Mobile Robots in Manufacturing Using Convolutional Neural Networks

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Authors

GMGarrett MadisonGGGrayson Michael GriserGTGage Truelson

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Overview

Findings reveal autonomous mobile robots enhance transport efficiency, suggesting optimal deployment strategies are crucial.

Key Points

  • To evaluate the impact of autonomous mobile robots on material delivery efficiency in manufacturing.
  • Implemented a convolutional neural network-based dispatch framework
  • Tested in a controlled setting using a representative aerospace assembly task
  • Evaluated three approaches: manual walking, manual AMR dispatch, and autonomous AMR deployment across 60 runs.
  • Manual AMR dispatch increased total operation and non-value-added time
  • Autonomous deployment improved workflow but did not significantly outperform manual walking
  • Operator variability affected non-value-added time during automated dispatch.

Cite This Study

Madison et al. (2026) studied this question.

synapsesocial.com/papers/69fbefa3164b5133a91a3936https://doi.org/10.3390/machines14050512
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