Vision and Tactile Sensing for DLO Manipulation and Pin Insertion in Robotic Connector Assembly

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Authors: Alessio Caporali, Michele Mirto, Salvatore Pirozzi, Gianluca Palli
Cited by: 1

Abstract

Automating deformable linear object (DLO) manipulation is vital for advancing manufacturing in industries like automotive, aerospace, and electronics. Among these, connector assembly poses a significant challenge due to the inherent complexity of handling flexible objects and the demand for high precision. This article introduces a novel methodology for automating connector assembly using a robot equipped with a custom mechatronic tool. The system integrates a parallel-jaw gripper with sensorized fingers and a stereo camera setup to ensure accuratepinalignment and insertion. The stereo vision system estimates thepin’s full 6-D pose, while the sensorized fingers monitor the insertion process in real time, reducing failure risks and eliminating reliance on global force measurements. In addition, apulltest validates the assembly. Real-world experiments with two distinct connector assembly tasks demonstrate the proposed approach's effectiveness. The results underscore the system's potential to boost automation, improve assembly quality, and decrease reliance on manual labor in complex connector assembly operations.

Fields of Study & Subjects

Robot Manipulation and Learning Soft Robotics and Applications Hand Gesture Recognition Systems

Publication details

Journal / source
IEEE/ASME Transactions on Mechatronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Pages
1–12
Publication date
1 January 2026
Language
EN