1990 Fiscal Year Final Research Report Summary
Development of Integrated Arc-Welding System with Visual Faculty Based on Intelligent Utility of Production Information
Project/Area Number |
63850157
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Research Category |
Grant-in-Aid for Developmental Scientific Research (B).
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Allocation Type | Single-year Grants |
Research Field |
溶接工学
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Research Institution | Osaka University |
Principal Investigator |
NAKATA Shuji Osaka University, Faculty of Engineering, Professor, 工学部, 教授 (90029075)
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Co-Investigator(Kenkyū-buntansha) |
FUJIMOTO Kozo Osaka University, Faculty of Engineering, Research Associate, 工学部, 助手 (70135664)
MAEKAWA Hitoshi Saitama University, Faculty of Engineering, Assistant Professor, 工学部, 助教授 (30135660)
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Project Period (FY) |
1988 – 1990
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Keywords | production information / fuzzy expression of welding knowledge / knowledge processing / off-line programming / path-searching / vision system / shape matching and recognition / arc welding system |
Research Abstract |
The system developed in this research is consisted with the database of the welding condition and three sub-systems ; vision system, welding robot system and assembly robot system. The results are summarized as followings. 1. The knowledge on the welding process is expressed efficiently by the fuzzy rule expressed by "if-then" type sentence. This fuzzy rule is defined individually in the fuzzy space where the experimental welding data is divided by putting into the form of a diagram. 2. The shape and co-relation between assembly parts of the works constructed by plate works are able to express by the plolog predicate. It was clarified that this expression is fit for the knowledge processing such as generation of assembly sequence. 3. New type path-searching method for decision of the torch position was proposed. In this method, the path is searched on x-rheta plane expressed by the welding position x and posture angle rheta of the robot arm. It was clarified that the sequence of the welding procedure under the condition of the appointed welding posture is generated easily. 4. It was clarified that the posture and path of the assembly robot is decided easily by using the map of the hand posture standardized by the distance between the robot origine and the end-effector. 5. The vision system using a new developed slit laser scanning moire image and a gray scale image at the same time was constructed. This vision system has wider obtaining range of the shape data and higher reliability of the obtained information. 6. Outline of the object shape can be expressed by each surface shape, and the surface shape is scarecelly changed according to the visual direction. In this research, high-speed shape matching was realized by utilizing the data structure based on the surface shape.
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