A Positioning System Based on Monocular Vision for Industrial Robots

2016 ◽  
Author(s):  
Mingyu Gao ◽  
Yeqing Yan ◽  
Yuxiang Yang ◽  
Jiye Huang ◽  
Zhiwei He
Keyword(s):  
Industrial Robots ◽  
Monocular Vision ◽  
Positioning System

The Design of Pneumatic Visual Servo Positioning System

2015 ◽  
Vol 752-753 ◽  
pp. 1000-1005
Author(s):  
Li Kai Zhu ◽  
Dean Zhao ◽  
Wei Ji ◽  
Yu Chen
Keyword(s):  
Real Time ◽  
Tracking Control ◽  
Vision System ◽  
Monocular Vision ◽  
Positioning System ◽  
Visual Servo ◽  
Time Performance ◽  
The Past ◽  
Center Position ◽  
Image Acquisition System

In view of the slowing expansion problem for the past harvesting robot’s electric push rod joint.This paper will adopt pneumatic draw stem instead of the original electric putter to improve the rapidity of servo system. Using VFW(Video for Windows) image acquisition system to access to the video buffer without generating the intermediate files,which can ensure high real-time performance. By monocular vision system to realize cylinder tracking control experiments for the fruit center position. Experiments verified the quickness and accuracy of the pneumatic servo positioning system.

scholarly journals Research on Body Positioning Measurement Method of Bolting Robot based on Vision Theory

2021 ◽  
Author(s):  
Xuedi Hao ◽  
Xueqiang Yang ◽  
Jinglin Zhang ◽  
Yaotian Ding ◽  
Miao Wu
Keyword(s):  
Real Time ◽  
Image Data ◽  
Monocular Vision ◽  
Vehicle Body ◽  
Positioning System ◽  
System Transformation ◽  
Time Data ◽  
Experimental Conditions ◽  
Vision Positioning ◽  
Body Positioning

Abstract In view of the intelligent demand of underground roadway support and the precise positioning of underground unmanned fully mechanized face, a method of body positioning measurement of bolting robot based on the principle of monocular vision is proposed. In this paper, a vehicle body positioning model based on image data is established. The data is obtained by camera, and the transformation between image coordinates and world coordinates is completed by coordinate system transformation. The monocular vision positioning system of bolting robot is designed, and the simulation experimental model is built to measure the effective positioning distance of monocular vision positioning system in the simulation experimental conditions. The experimental platform of bolting robot is designed, and the vehicle is measured Real time data of body positioning, analysis of experimental error and demonstration of reliability of the method. In this method, the real-time localization of underground mine is realized by the robot of bolting, and the accuracy and efficiency of localization are improved, which lays the foundation for the localization control of mining face and the automation and unmanned of the robot of bolting.

Robust industrial robot real-time positioning system using VW-camera-space manipulation method

2014 ◽  
Vol 41 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Yong Liu ◽  
Dingbing Shi ◽  
Steven Baard Skaar
Keyword(s):  
Real Time ◽  
Camera Calibration ◽  
Industrial Robot ◽  
Research Problem ◽  
Industrial Applications ◽  
Industrial Robots ◽  
Positioning System ◽  
Content Type ◽  
Time Performance ◽  
The Impact

Purpose – Vision-based positioning without camera calibration, using uncalibrated industrial robots, is a challenging research problem. To address the issue, an uncalibrated industrial robot real-time positioning system has been developed in this paper. The paper aims to discuss these issues. Design/methodology/approach – The software and hardware of this system as well as the methodology are described. Direct and inverse kinematics equations that map joint space into “camera space” are developed. The camera-space manipulation (CSM) algorithm has been employed and improved with varying weights on camera samples of the robot end effector, and the improved CSM is named VW-CSM. The experiments of robot positioning have been conducted using the traditional CSM algorithm and the varying-weight CSM (VW-CSM) algorithm, respectively, both without separate camera calibration. The impact on the accuracy and real-time performance of the system caused by different weights has been examined and discussed. Findings – The experimental results show that the accuracy and real-time performance of the system with the VW-CSM algorithm is better than the one with using the original CSM algorithm, and the impact on the accuracy and real-time performance of the system caused by different weights has been revealed. Originality/value – The accuracy and real-time performance of the system with the VW-CSM algorithm is verified. These results prove that the developed system using the VW-CSM algorithm can satisfy the requirements of most industrial applications and can be widely used in the field of industrial robots.

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