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JRM Vol.24 No.4 pp. 666-676
doi: 10.20965/jrm.2012.p0666
(2012)

Paper:

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Vision-Force Guided Monitoring for Mating Connectors in Wiring Harness Assembly Systems

Pei Di, Fei Chen, Hironobu Sasaki, Jian Huang,
Toshio Fukuda, and Takayuki Matsuno

Department of Micro-Nano Systems Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8603, Japan

Received:
November 22, 2011
Accepted:
February 6, 2012
Published:
August 20, 2012
Creative Commons License
Keywords:
robotic assembly, vision-force guided monitoring, mating connectors
Abstract
Correctly mating connectors is vital in robotic harness wiring systems. Although a static force model has been established based on force and position information during mating, there are difficulties to be overcome to implement a mating process monitoring task with insufficient training samples. It is difficult to obtain consistent features from successful mating samples under different conditions using existing models, which makes it difficult to recognize whether the mating process is correctly completed by learning few successful training samples. In this study, a simple new model is proposed to describe the connector mating process. More robust features are chosen as model parameters. It turns out that the model is more appropriate for the monitoring task, despite varied assembly conditions that affect the mating process. Multiple sensors, including a force sensor, encoders and two CCD cameras are used to acquire the necessary information for the model. A real-time algorithm based on a set-membership approach is used to implement the monitoring task. The effectiveness of these methods is confirmed through experiments. This study provides a simple but effective monitoring approach for a realtime industrial system integration application.
Cite this article as:
P. Di, F. Chen, H. Sasaki, J. Huang, T. Fukuda, and T. Matsuno, “Vision-Force Guided Monitoring for Mating Connectors in Wiring Harness Assembly Systems,” J. Robot. Mechatron., Vol.24 No.4, pp. 666-676, 2012.
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