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Cooperating Robots for Flexible ManufacturingCooperating Dexterous Robotic Resources

Cooperating Robots for Flexible Manufacturing: Cooperating Dexterous Robotic Resources [This chapter focuses on cooperating dexterous resources that are used in a production line. This analysis begins with bigger devices that can be found in a production cell, namely robotic arms. The chapter describes the mechanisms that enable different robots to collaborate in a cell, avoiding collisions or issues like executing tasks in the wrong order. Following, an important aspect that gives dexterity is the perception technologies, that are used in a robotic cell. Starting from simple vision algorithms that can recognize and detect 3D models up to more sophisticated machine learning approaches. Furthermore, handling tools is a key component to achieve dexterity. In this part of the chapter is described in detail the design and implementation steps that were followed to create two types of gripping tools: one with high flexibility that is able to manipulate small car parts and another one which is able to perform in-hand manipulation at high speeds. Last but not least, an application from the consumer goods industry is presented where the hardware and software that has been analyzed in the chapter has been integrated and demonstrated.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cooperating Robots for Flexible ManufacturingCooperating Dexterous Robotic Resources

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-51590-4
Pages
95 –121
DOI
10.1007/978-3-030-51591-1_4
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter focuses on cooperating dexterous resources that are used in a production line. This analysis begins with bigger devices that can be found in a production cell, namely robotic arms. The chapter describes the mechanisms that enable different robots to collaborate in a cell, avoiding collisions or issues like executing tasks in the wrong order. Following, an important aspect that gives dexterity is the perception technologies, that are used in a robotic cell. Starting from simple vision algorithms that can recognize and detect 3D models up to more sophisticated machine learning approaches. Furthermore, handling tools is a key component to achieve dexterity. In this part of the chapter is described in detail the design and implementation steps that were followed to create two types of gripping tools: one with high flexibility that is able to manipulate small car parts and another one which is able to perform in-hand manipulation at high speeds. Last but not least, an application from the consumer goods industry is presented where the hardware and software that has been analyzed in the chapter has been integrated and demonstrated.]

Published: Oct 1, 2020

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