Publication detail

Robotic Snap-fit Assembly with Success Identification Based on Force Feedback

RADIL, F. ADÁMEK, R. DOBOSSY, B. KREJČÍ, P.

English title

Robotic Snap-fit Assembly with Success Identification Based on Force Feedback

Type

conference paper

Language

en

Original abstract

Snap-fit assembly is a standard method in manufacturing to join mainly plastic parts together without any additional processing. However, most of these assemblies are carried out by human workers as they are able to recognize whether the operation is executed correctly. This work aims to improve a robotic snap-fit assembly and replace humans in the process. It is achieved by force measuring using the sensor at the end of the robotic arm. For the purpose of the work, the custom made snap joint was designed in various variants. A set of features was established to enable the classification of obtained signals. The features were tested on a created dataset consisting of measured signals of the four primary cases that may occur during the assembly. This solution provides a possible expansion to create a framework with a selected classification algorithm for the autonomous classification of measured signals.

English abstract

Snap-fit assembly is a standard method in manufacturing to join mainly plastic parts together without any additional processing. However, most of these assemblies are carried out by human workers as they are able to recognize whether the operation is executed correctly. This work aims to improve a robotic snap-fit assembly and replace humans in the process. It is achieved by force measuring using the sensor at the end of the robotic arm. For the purpose of the work, the custom made snap joint was designed in various variants. A set of features was established to enable the classification of obtained signals. The features were tested on a created dataset consisting of measured signals of the four primary cases that may occur during the assembly. This solution provides a possible expansion to create a framework with a selected classification algorithm for the autonomous classification of measured signals.

Keywords in English

Snap-fit assembly; Industrial robot; Force feedback; Classification

Released

05.05.2022

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Location

Virtual, Online

ISBN

978-3-030-98260-7

ISSN

1611-3349

Book

Modelling and Simulation for Autonomous Systems

Volume

13207

Pages from–to

145–157

Pages count

13

BIBTEX


@inproceedings{BUT177828,
  author="Filip {Radil} and Roman {Adámek} and Barnabás {Dobossy} and Petr {Krejčí},
  title="Robotic Snap-fit Assembly with Success Identification Based on Force Feedback",
  booktitle="Modelling and Simulation for Autonomous Systems",
  year="2022",
  volume="13207",
  month="May",
  pages="145--157",
  publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
  address="Virtual, Online",
  isbn="978-3-030-98260-7",
  issn="1611-3349"
}