pp. 935-945
S&M1383 Research Paper of Special Issue https://doi.org/10.18494/SAM.2017.1637 Published: July 12, 2017 Image-Sensor-Based Fast Industrial-Robot Positioning System for Assembly Implementation [PDF] Chyi-Yeu Lin, Le Thai Son, Yu-Lun Chang, and Ya-Shiun Shiue (Received October 18, 2016; Accepted June 2, 2017) Keywords: image sensor, object localization, object alignment, robot assembly, autonomous operation
In this paper, an innovative image-technique-based fast industrial-robot positioning system for assembly implementation is presented. Two laser projectors, that is, a laser pointer and a line laser, and an image sensor are used to construct the innovative system to scan and obtain a 3D point cloud model of the object to be assembled. The system is then integrated with a 6-axis industrial robot to define the insertion position in a semi-autonomous manner. This system can save up to 80% of the manual teaching time for defining robot insertion positions by using a teach pendant. The whole system has been tested on four insertion tasks that require high precision. The results of experiments confirm the effectiveness and efficiency of the system for high-precision tasks. This innovative system can be used in many industrial-robot-based automated assembly tasks.
Corresponding author: Chyi-Yeu LinCite this article Chyi-Yeu Lin, Le Thai Son, Yu-Lun Chang, and Ya-Shiun Shiue, Image-Sensor-Based Fast Industrial-Robot Positioning System for Assembly Implementation, Sens. Mater., Vol. 29, No. 7, 2017, p. 935-945. |