Implementation method for workpiece grasping of industrial robot based on visual positioning

An industrial robot and visual positioning technology, applied in the direction of instruments, manipulators, manufacturing tools, etc., can solve the problems of unfavorable robot control system integration and reliability, low efficiency, poor accuracy, etc., to improve grasping efficiency, improve identification accuracy, Avoid ungraspable effects

Inactive Publication Date: 2017-07-07
SHENYANG GOLDING NC & INTELLIGENCE TECH CO LTD
View PDF3 Cites 52 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the disadvantages of low efficiency, poor accuracy, unfavorable robot control system integration and poor reliability existing in the method of positioning and grabbing workpieces by industrial robots in the prior art, the technical problem to be solved by the present invention is to provide an industrial robot workpiece based on visual positioning Grab the implementation method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Implementation method for workpiece grasping of industrial robot based on visual positioning
  • Implementation method for workpiece grasping of industrial robot based on visual positioning
  • Implementation method for workpiece grasping of industrial robot based on visual positioning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0078] Such as figure 1 As shown, the industrial robot workpiece grasping realization method based on vision positioning of the present invention comprises the following steps:

[0079] 1. Through the fixed global CCD camera, the workpiece image is collected, and the workpiece image information is transmitted to the robot control system through the Ethernet interface.

[0080] 2. The robot control system processes the image of the workpiece to obtain the position vector information of the workpiece.

[0081] 3. According to the position vector information of the workpiece, the robot performs Cartesian and joint coordinate transformation to realize the positioning and gripping of the workpiece by the end gripper.

[0082] Such as figure 2 As shown, the process of workpiece image processing and workpiece position vector calculation is as fol...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an implementation method for workpiece grasping of an industrial robot based on visual positioning, which comprises the steps that a workpiece image is acquired through a fixed global CCD camera, and workpiece image information is transmitted to a robot control system through an Ethernet interface; the robot control system processes the workpiece image and acquires workpiece position vector information; the robot performs Cartesian and joint coordinate transformation according to the workpiece position vector information so as to realize positioning and grasping of a tail-end claw for a workpiece. The invention provides a workpiece position information calculation method, which is characterized in that contour region screening is performed on all detected images when contour detection is performed on workpiece images, isolated and small-segment continuous edges are deleted, non-target contours are removed, and the target contour identification accuracy is improved; and meanwhile, when workpiece position information is calculated, judgment is performed on a long side of a workpiece, and the robot is controlled to grasp the long side of the workpiece, so that a failure in grasping caused by short side clamping of the robot is avoided, and the grasping efficiency is improved.

Description

technical field [0001] The invention relates to a method for grasping workpieces of industrial robots, in particular to a method for realizing grasping workpieces of industrial robots based on vision positioning. Background technique [0002] The positioning and grasping of workpieces by industrial robots determines the application efficiency and reliability of industrial robots. At present, there are mainly three methods: online teaching, offline programming and vision-based technology. The application of online teaching and offline programming methods for workpiece positioning requires the design, manufacture, and installation of high-precision workpiece positioning devices, especially for workpieces with complex contours. cost. At the same time, when the type of workpiece changes, it is necessary to redesign the manufacturing positioning device, which limits the production transformation cycle. On-line identification and positioning of the workpiece based on vision tech...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/60B25J15/08
CPCB25J15/08G06T7/60G06T2207/10004G06T2207/20028G06T2207/20182G06T2207/30164
Inventor 孙一兰朱良王品王诗宇郑飂默
Owner SHENYANG GOLDING NC & INTELLIGENCE TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products