Development of an intelligent robotic system for the automation of a meat-processing task

  • Authors:
  • S. A. Hurd;D. A. Carnegie;N. R. Brown;P. T. Gaynor

  • Affiliations:
  • DeviceWorks, Industrial Research Limited, PO Box 2225, Auckland, New Zealand;Department of Physics and Electronic Engineering, University of Waikato, Private Bag 3105, Hamilton, New Zealand;DeviceWorks, Industrial Research Limited, PO Box 2225, Auckland, New Zealand;Department of Physics and Electronic Engineering, University of Waikato, Private Bag 3105, Hamilton, New Zealand

  • Venue:
  • International Journal of Intelligent Systems Technologies and Applications
  • Year:
  • 2005

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Abstract

A robotic system and specifically designed end-effector tool has been developed for the automation of a meat processing task. This tool replicates the operation of a human butcher, while providing improved aseptic conditions and an increase in the reliability, repeatability and quality of the process. The robotic system incorporates a neural network-based fault detection scheme, which uses a learning vector quantisation network to classify axial load signals. A proposed online adaptive learning algorithm will provide continuous optimisation of the robot cut-path, leading to the automation of the path tuning process. This will allow the system to respond to seasonal carcass variations automatically and maintain a consistently high level of performance.