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Toward an Industrial Robot Gym

  • Jimmy Nassif,
  • Joe Tekli,
  • Marc Kamradt

摘要

This chapter briefly describes how to build a digital twin and how to make it work in order to benefit a modern factory. It describes how the digital twin is controlled and automated, and how it allows the generation of synthetic data to be used for training automated robotic systems. The digital twin is viewed as a “robot gym”, training virtual robotic twins using synthetic data in order to allow their real world counterparts to work and execute their tasks in the real world. This chapter attempts to answer the following questions: How do we build a digital twin and how do we make it work to benefit a modern factory? How can we provide quality assurance in the virtual world? How can we use synthetic data to train virtual robot twins? This chapter also provides as a practical use case foxed on BMW Group and Idealwork’s iw-hub smart transport robot.