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Automotive Wire Harness Connector Installation Using Skill-Based Robotic Programming

Kernbach, Andreas; Bargmann, Daniel; Zürn, Manuel; Schmerbeck, Carsten ORCID iD icon 1; Yaman, Alper; Kläb, Mara; Zeh, Lukas; Tenbrock, Philipp; Durnagoez, Samiha; Mayer, Mathias; Lechler, Armin; Heizmann, Michael 1; Verl, Alexander; Kraus, Werner; Huber, Marco F.
1 Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The automotive industry increasingly seeks to decrease costs by automation. This remains a challenge for tasks requiring high dexterity, such as wire harness connector installation. This work presents an automated approach for robust connector installation using force-controlled search and insertion strategies within a skill-based programming system. Validated on a car door, the system achieves a success rate of 76.7% while compensating positional uncertainties up to 15 mm. Additionally, a specialized wiggle skill to reduce cable tension during installation is developed. A dataset of 60 insertion trials is provided to support future research and development.


Zugehörige Institution(en) am KIT Institut für Industrielle Informationstechnik (IIIT)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2025
Sprache Englisch
Identifikator ISBN: 978-3-031-89470-1
ISSN: 2511-1256
KITopen-ID: 1000183096
Erschienen in European Robotics Forum 2025 : Boosting the Synergies between Robotics and AI for a Stronger Europe. Ed.: M. Huber
Veranstaltung European Robotics Forum (2025), Stuttgart, Deutschland, 25.03.2025 – 27.03.2025
Verlag Springer Nature Switzerland
Seiten 168–173
Serie Springer Proceedings in Advanced Robotics ; 36
Vorab online veröffentlicht am 22.05.2025
Nachgewiesen in OpenAlex
Scopus
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