Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Robot job task generation method based on workpiece model

A task and robot technology, applied in the direction of instruments, manipulators, manufacturing tools, etc., can solve the problems of high computer performance requirements, low software openness, limited types of robots, etc., to reduce the error rate, flexible and efficient settings, large Versatile and flexible effects

Active Publication Date: 2016-10-26
SOUTHEAST UNIV
View PDF7 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution has the following disadvantages: ①The types of robots supported are very limited; ②CAD software requires high computer performance and takes a long time to run; ③Using a third-party platform for development will lead to a low degree of software openness

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
  • Robot job task generation method based on workpiece model
  • Robot job task generation method based on workpiece model
  • Robot job task generation method based on workpiece model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Below in conjunction with embodiment the present invention will be further described.

[0026] In the present invention, the robot operation task generation method based on the workpiece model, such as figure 1As shown, by extracting the processing trajectory data from the CAD model of the workpiece to be processed, and then using the 3D simulation space, the target trajectory of the robot is set according to the processing trajectory data, and the motion posture of the robot is set according to the 3D solid model of the workpiece to be processed, and then the robot is used to The target trajectory and motion pose data are obtained by solving the robot kinematic equations to obtain the motion data of the robot, and finally the job file is generated according to the motion data. Specifically include the following steps:

[0027] (1) Obtain the processing trajectory data in the workpiece model

[0028] 1) Analyze the processing trajectory data contained in the DXF file ...

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 discloses a robot job task generation method based on a workpiece model. The movement track of a robot is displayed through a three-dimensional simulation space by extracting machining track data of a workpiece to be machined; the movement track and pose data of the robot are set through a man-machine interactive means; then a robot kinematic model is established, and robot movement data are solved according to the pose data; and finally, a robot job file is generated according to the robot movement data. By means of the robot job task generation method, the industrial robot job file can be rapidly generated, the models of the robot and the workpiece can be vividly and flexibly displayed, supported robot kinds are not limited, multi-robot programming can be supported, complex curve programming commonly seen in the industry can also be supported, and the industrial production efficiency can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of industrial robots, in particular to a method for generating robot tasks based on workpiece models. Background technique [0002] The generation of robot job tasks is generally to obtain robot motion trajectory data from the CAD model of the workpiece to be processed, and then use intelligent programming to automatically generate robot job files from the background program. The general idea is to establish a simulated three-dimensional space first, which is used to display the models of the workpiece and the robot, and at the same time provide a way for the user to set the robot's motion pose. Most of the existing robot task generation methods adopt an intuitive solution: use mature 3D CAD software such as AutoCAD, SolidWorks and other software to provide 3D scenes, and write kinematic algorithms for several fixed robots to solve robot motion data . However, this solution has the following disadvantages:...

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
IPC IPC(8): B25J9/16
CPCB25J9/1664G05B2219/40519
Inventor 甘亚辉戴先中邢继生王政伟郭哲
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com