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Neural network control for a fire-fighting robot

Abstract

The paper discusses the development of an associative, neural network as an on-line algorithm to train and control a fire-fighting robot. Learning is externally supervised with encoded target actions. The robot acquires basic navigation skills as well as the ability to detect a fire and to extinguish it.

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Correspondence to Yan Zhou.

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Zhou, Y., Wilkins, D. & Cook, R.P. Neural network control for a fire-fighting robot. Software - Concepts & Tools 19, 146–152 (1998). https://doi.org/10.1007/s003780050018

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  • DOI: https://doi.org/10.1007/s003780050018

Key words

  • Robotics
  • Neural network
  • Control algorithm
  • Fire fighting