Monitoring of data grabbing by multi-sensor parallel robot based on visual screening

Meijie Shang, Jieming Zhang, Fangyuan Han and Min Yu

International Journal of Manufacturing Technology and Management, 2021, vol. 35, issue 3, 200-217

Abstract: In order to overcome the problems of low monitoring accuracy and efficiency in the existing monitoring methods of grab data, a new monitoring method of grab data of multi-sensor parallel robot based on visual screening is proposed. Multi-sensor data fusion is used to identify the robot's pose. Based on visual screening technology, FH visual processing module is constructed by using FH visual controller, camera and LED light source, with the camera connection completed by using fz-vs camera line and FH visual controller. Transfer data information such as workpiece type coordinates to the NJ controller. The controller uses the network and servo driver to connect, and combines the robot pose detection results to realise the robot grasping data control. The experimental results show that this method has high monitoring accuracy and efficiency, and the shortest monitoring time is only 21 s.

Keywords: visual screening; multi-sensor; parallel robot; grab; monitoring. (search for similar items in EconPapers)
Date: 2021
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