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Intuitive Cobot Programming for Small-Medium Enterprises

  • Niccolo Lucci,
  • Elias Montini,
  • Isacco Zappa,
  • Andrea Maria Zanchettin,
  • Paolo Rocco

摘要

AI-powered and intuitive robotic programming represents a game changer in manufacturing industries that demand flexibility and promptness to production changes. This work proposes an intuitive and code-free method that exploits Programming by Demonstration. The method relies on executable semantic behaviour trees that model demonstrated Skills and encapsulate their semantic representation, the robot’s primitives, and all the possible modes for completing them. Such models can be intuitively created by unskilled operators, ensuring cost-effective adaptation to changing production requirements. The method has been validated through experiments in an industrially relevant use case.