Point Cloud Based Three-Dimensional Reconstruction and Identification of Initial Welding Position

Zhang, Lunzhao; Xu, Yanling; Du, Shaofeng; Zhao, Wenjun; Hou, Zhengxin; Chen, Shanben

doi:10.1007/978-981-10-8330-3_4

Cited by 28 publications

(4 citation statements)

References 10 publications

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“…Therefore, designing a robust algorithm that can efficiently utilise 3D information will be crucial for this application. Although, some recent studies using point cloud processing were able to detect the groove, they did not further exploit the features to improve system functionality, such as plan a welding path with well-defined orientation [10]â [14]. More experiments on complex and diverse seam patterns are needed for ver-ification.…”

Section: Discussionmentioning

confidence: 99%

Path Planning With Automatic Seam Extraction Over Point Cloud Models for Robotic Arc Welding

Zhou

Peng

et al. 2021

IEEE Robot. Autom. Lett.

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This paper presents a point cloud based robotic system for arc welding. Using hand gesture controls, the system scans partial point cloud views of workpiece and reconstructs them into a complete 3D model by a linear iterative closest point algorithm. Then, a bilateral filter is extended to denoise the workpiece model and preserve important geometrical information. To extract the welding seam from the model, a novel intensity-based algorithm is proposed that detects edge points and generates a smooth 6-DOF welding path. The methods are tested on multiple workpieces with different joint types and poses. Experimental results prove the robustness and efficiency of this robotic system on automatic path planning for welding applications.

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Section: Discussionmentioning

confidence: 99%

Path Planning With Automatic Seam Extraction Over Point Cloud Models for Robotic Arc Welding

Zhou

Peng

et al. 2021

IEEE Robot. Autom. Lett.

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“…Welding start point identification is an important process in the pre-processing stage of intelligent robot arc welding [41]. The welding start-point guide agent belongs to the agent at the software level.…”

Section: Welding Start Point Guide Agentmentioning

confidence: 99%

Key Technology of Intelligentized Welding Manufacturing and Systems Based on the Internet of Things and Multi-Agent

Liu

Chen

2022

JMMP

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With the development of the Internet of Things (IoT), Big Data, Artificial Intelligence technology, and the emergence of modern information technologies such as intelligent manufacturing, welding systems are changing, and intelligentized welding manufacturing and systems (IWMS) utilizing these technologies are attracting attention from both academia and industry. This paper investigates sensing technology, multi-information sensor fusion technology, feature recognition technology, the quality prediction method, control method, and intelligent welding production line application in the IWMS. Combining IoT technology and multi-agent systems, a hierarchical structure model welding manufacturing system (IoT-MAS) in the form of “leader-following” was constructed. The multi-agent welding manufacturing system has the advantages of distribution, intelligence, internal coordination and so on. The IoT-MAS consists of several sub-agents, which are divided into five categories according to their functions and internal processing logic. Combined with the functions of the intelligent welding manufacturing system, the agent structure of the whole welding process was proposed, and the matching communication technology and algorithm were designed. The intelligent welding manufacturing system based on IoT-MAS proposed in this paper can effectively solve the integrated design problem of large welding manufacturing systems.

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“…Lei et al [10] proposed a novel 3D path extraction method of weld seams based on point cloud , which could well serve for the 3D path teaching task before welding. Zhang et al [11] proposed point cloud based approach to recognize working environment and locate welding initial position using laser stripe sensor.…”

Section: Introductionmentioning

confidence: 99%

A method of welding path planning of steel mesh based on point cloud for welding robot

Geng

Zhang

Tian

et al. 2021

Int J Adv Manuf Technol

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At present, the operators needs to carry out complicated teaching and programming work on the welding path planning for the welding robot before welding the steel mesh. In this work, an automatic welding path planning method of steel mesh based on point cloud is proposed to simplify the complicated teaching and programming work in welding path planning. The point cloud model of steel mesh is obtained by three-dimensional vision structured light camera. Then we use the relevant point cloud processing algorithm to calculate the welding path of the steel mesh, and obtain the 3D information of the welding path for the welding localization of the robot welding process. Experimental results show that the method can accurately realize the welding path planning of the steel mesh and accomplish the welding task without teaching and programming before welding, which improves the production efficiency.Keywords Without teaching and programming • 3D structured light camera • Steel mesh point cloud • Welding path planning

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Point Cloud Based Three-Dimensional Reconstruction and Identification of Initial Welding Position

Cited by 28 publications

References 10 publications

Path Planning With Automatic Seam Extraction Over Point Cloud Models for Robotic Arc Welding

Path Planning With Automatic Seam Extraction Over Point Cloud Models for Robotic Arc Welding

Key Technology of Intelligentized Welding Manufacturing and Systems Based on the Internet of Things and Multi-Agent

A method of welding path planning of steel mesh based on point cloud for welding robot

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