On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper

In robotic assembly of flexible flat cables (FFCs), a unique challenge is the inherent difficulty in manipulating such flexible objects compared to their rigid counterparts and the precise estimation of the cable pose. This work proposes a framework that combines object pose estimation using compute...

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Main Authors: Junbang Liang, Joao Buzzatto, Bryan Busby, Haodan Jiang, Saori Matsunaga, Rintaro Haraguchi, Mariyama Toshisada, Bruce A. MacDonald, Minas Liarokapis
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
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Online Access:https://ieeexplore.ieee.org/document/10693648/
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author Junbang Liang
Joao Buzzatto
Bryan Busby
Haodan Jiang
Saori Matsunaga
Rintaro Haraguchi
Mariyama Toshisada
Bruce A. MacDonald
Minas Liarokapis
author_facet Junbang Liang
Joao Buzzatto
Bryan Busby
Haodan Jiang
Saori Matsunaga
Rintaro Haraguchi
Mariyama Toshisada
Bruce A. MacDonald
Minas Liarokapis
author_sort Junbang Liang
collection DOAJ
description In robotic assembly of flexible flat cables (FFCs), a unique challenge is the inherent difficulty in manipulating such flexible objects compared to their rigid counterparts and the precise estimation of the cable pose. This work proposes a framework that combines object pose estimation using computer-aided design (CAD) models and multiview fusion to perform precise FFC assembly. Our key insight is that a multiview fusion combined with pretrained 6-D pose estimation models offers a more flexible and precise object pose estimation. In a series of experiments involving FFC insertion tasks requiring assembly tolerances down to 0.1 mm, our approach achieves an insertion success rate of 399 out of 400 total attempts. Furthermore, the assembly tasks include the releasing and securing of FFCs from cable connectors, where the system is successful in 200 out of 200 trials. We have also demonstrated the generalization capability of the methodology by successfully completing insertion tasks for common electronic cables like DisplayPort and USB-A, achieving 199 successes in 200 trials. The results not only validate the feasibility of the proposed approach, but also demonstrate its robustness for real-world industrial applications.
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institution Kabale University
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language English
publishDate 2024-01-01
publisher IEEE
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series IEEE Open Journal of the Industrial Electronics Society
spelling doaj-art-78d608ce99e74b8cb3acd3a94967d2c62025-01-17T00:01:29ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842024-01-0151104111410.1109/OJIES.2024.346717110693648On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic GripperJunbang Liang0https://orcid.org/0009-0008-7997-5623Joao Buzzatto1https://orcid.org/0000-0003-3725-4023Bryan Busby2Haodan Jiang3Saori Matsunaga4Rintaro Haraguchi5Mariyama Toshisada6Bruce A. MacDonald7https://orcid.org/0000-0001-7602-8497Minas Liarokapis8https://orcid.org/0000-0002-6016-1477New Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New ZealandNew Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New ZealandNew Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New ZealandNew Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New ZealandInformation Technology R&D Center, Mitsubishi Electric Corporation, Tokyo, JapanAdvanced Technology R&D Center, Mitsubishi Electric Corporation, Tokyo, JapanInformation Technology R&D Center, Mitsubishi Electric Corporation, Tokyo, JapanCentre for Automation and Robotic Engineering Science, Department of Electrical, Computer and Software Engineering, The University of Auckland, Auckland, New ZealandNew Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New ZealandIn robotic assembly of flexible flat cables (FFCs), a unique challenge is the inherent difficulty in manipulating such flexible objects compared to their rigid counterparts and the precise estimation of the cable pose. This work proposes a framework that combines object pose estimation using computer-aided design (CAD) models and multiview fusion to perform precise FFC assembly. Our key insight is that a multiview fusion combined with pretrained 6-D pose estimation models offers a more flexible and precise object pose estimation. In a series of experiments involving FFC insertion tasks requiring assembly tolerances down to 0.1 mm, our approach achieves an insertion success rate of 399 out of 400 total attempts. Furthermore, the assembly tasks include the releasing and securing of FFCs from cable connectors, where the system is successful in 200 out of 200 trials. We have also demonstrated the generalization capability of the methodology by successfully completing insertion tasks for common electronic cables like DisplayPort and USB-A, achieving 199 successes in 200 trials. The results not only validate the feasibility of the proposed approach, but also demonstrate its robustness for real-world industrial applications.https://ieeexplore.ieee.org/document/10693648/Flexible object manipulationmultiview fusionpose estimationrobotic assembly
spellingShingle Junbang Liang
Joao Buzzatto
Bryan Busby
Haodan Jiang
Saori Matsunaga
Rintaro Haraguchi
Mariyama Toshisada
Bruce A. MacDonald
Minas Liarokapis
On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper
IEEE Open Journal of the Industrial Electronics Society
Flexible object manipulation
multiview fusion
pose estimation
robotic assembly
title On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper
title_full On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper
title_fullStr On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper
title_full_unstemmed On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper
title_short On Robust Assembly of Flexible Flat Cables Combining CAD and Image Based Multiview Pose Estimation and a Multimodal Robotic Gripper
title_sort on robust assembly of flexible flat cables combining cad and image based multiview pose estimation and a multimodal robotic gripper
topic Flexible object manipulation
multiview fusion
pose estimation
robotic assembly
url https://ieeexplore.ieee.org/document/10693648/
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