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干挂安装板材机器人系统关键技术研究-机械工程专业毕业论文.docx


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RESEARCH ON THE KEY TECHNOLOGY OF A ROBOT SYSTEM USED FOR INSTALLING THE DRY-HANGING SLABSTONE
ABSTRACT
In view of lower degree of automation, higher incidence of accident and other issues in the process of the installing of the large dimension slabstone in the dry-hanging technology, presents a robot for large dimension slabstone installing, using robot technology plete the automatic installing process, and improve the working efficiency and safety.
The paper summarizes the domestic and foreign research status on the slabstone installing robot. On the basis of inquiring upon the traditional dry-hanging process of the indoor stone wall, the automatic slabstone dry-hanging process and the required precision is determined. In view of the drawback of the vision based positioning method which cannot acquire the position relationship between the parts, the force-based approach is introduced and a method for
searching the hole—plane search—is proposed, which further improve the process for automatic
slabstone installation.
According to the demands of high rigidity and payload capability to the robot, This robot adopts a new serial-parallel hybrid-type of six degree, the posture adjustment of the robot is realized by the 3UPS/S parallel platform with 3 rotation freedoms, and the position adjustment is realized by the serial parts with 3 translation degree. The detailed structure of the function modules of the robot is designed based on modular design approach, the sensing system constituted by a tilt sensor and dual-laser distance sensors is designed for the moving platform and the structured light vision together with the force feedback sensing system is designed for the plate position detection.
To realize the positioning strategy based on vision, the calibration of the visual system and the structure light image processing is achieved in this thesis; in order to install the plate based on force information, the categories of the contact state during the searching

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  • 页数60
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  • 上传人wz_198613
  • 文件大小2.71 MB
  • 时间2018-11-22
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