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Cooperating Robots for Flexible ManufacturingAn Approach for Validating the Behavior of Autonomous Robots in a Virtual Environment

Cooperating Robots for Flexible Manufacturing: An Approach for Validating the Behavior of... [In order to reduce the time to ramp up production, tools to help with the design and simulation of production have been developed. However, this book has been discussing on the development of advanced robots, which are able to perform manufacturing tasks rather autonomously based on intuitive decision-making algorithms. Existing simulation packages are not designed to model such behavior. This chapter introduces a method to help model autonomous robots in a virtual environment. This method allows to perform offline design of such an autonomous behavior and to validate it prior to deployment. In addition, this method facilitates decision making in runtime by integrating data collected from the shop floor during the operation of the robots. The data are used to represent in the digital model the actual behavior of the robots and to validate the outcome of possible reassignment of tasks to alternative robots. This method is implemented in a commercial simulation package and models that assembly processes coming from automotive.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cooperating Robots for Flexible ManufacturingAn Approach for Validating the Behavior of Autonomous Robots in a Virtual Environment

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References (5)

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-51590-4
Pages
133 –144
DOI
10.1007/978-3-030-51591-1_6
Publisher site
See Chapter on Publisher Site

Abstract

[In order to reduce the time to ramp up production, tools to help with the design and simulation of production have been developed. However, this book has been discussing on the development of advanced robots, which are able to perform manufacturing tasks rather autonomously based on intuitive decision-making algorithms. Existing simulation packages are not designed to model such behavior. This chapter introduces a method to help model autonomous robots in a virtual environment. This method allows to perform offline design of such an autonomous behavior and to validate it prior to deployment. In addition, this method facilitates decision making in runtime by integrating data collected from the shop floor during the operation of the robots. The data are used to represent in the digital model the actual behavior of the robots and to validate the outcome of possible reassignment of tasks to alternative robots. This method is implemented in a commercial simulation package and models that assembly processes coming from automotive.]

Published: Oct 1, 2020

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