[1]QIU Jielu,WANG Mingming.Flexible wire reconstructing and gripping verification under the image information input[J].CAAI Transactions on Intelligent Systems,2025,20(2):435-444.[doi:10.11992/tis.202403021]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
20
Number of periods:
2025 2
Page number:
435-444
Column:
学术论文—智能系统
Public date:
2025-03-05
- Title:
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Flexible wire reconstructing and gripping verification under the image information input
- Author(s):
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QIU Jielu1; 2; WANG Mingming1; 2
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1. School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China;
2. Research & Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen 518057, China
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- Keywords:
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flexible wire; visual sensing; depth camera; image processing; coordinates calculation; curve reconstruction; pose transformation; robot arm grasping
- CLC:
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TP24
- DOI:
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10.11992/tis.202403021
- Abstract:
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To address the complex task of operating flexible objects with a robot, a concise and efficient method for grasping soft wires is designed. First, the soft wire is measured using a stereo camera and image processing techniques. By combining the transformation relationships between coordinate systems, three-dimensional coordinate information is reconstructed from the image data. The soft wire is then modeled and reconstructed using the Frenet frame, enabling the acquisition of positional and bending direction information at any arbitrary point along the wire. The representations and transformation methods for the six-DOF robotic arm pose, along with the camera calibration process, are provided. These enable the conversion of the Frenet frame’s coordinates and directional data for any point along the curve into the robotic gripper’s pose. Finally, a ground experiment was conducted to demonstrate the robot’s ability to grasp the soft wire along the bending direction of a target point, verifying the feasibility of this method.