Base Detection Research of Drilling Robot System by Using Visual Inspection
| Autor: | Zhanxi Wang, Tan Xiaoqun, Xiao-Yu Zhang, Jing Bai, Xian-Sheng Qin, Yali Zhao |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Article Subject Computer science business.industry System of measurement lcsh:Mechanical engineering and machinery Coordinate system Base (geometry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Drilling 02 engineering and technology 01 natural sciences Displacement (vector) 010309 optics 020901 industrial engineering & automation Control and Systems Engineering 0103 physical sciences Calibration Robot Computer vision lcsh:TJ1-1570 Artificial intelligence Coaxial business |
| Zdroj: | Journal of Robotics, Vol 2018 (2018) |
| ISSN: | 1687-9619 1687-9600 |
| Popis: | This paper expounds the principle and method of calibration and base detection by using the visual measurement system for detection and correction of installation error between workpiece and the robot drilling system. This includes the use of Cognex Insight 5403 high precision industrial camera, a light source, and the KEYENCE coaxial IL-300 laser displacement sensor. The three-base holes method and two-base holes method are proposed to analyze the transfer relation between the basic coordinate system of the actual hole drilling robot and the basic coordinate system of the theoretical hole drilling robot. The corresponding vision coordinates calibration and the base detection experiments are examined and the data indicate that the result of base detection is close to the correct value. |
| Databáze: | OpenAIRE |
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