Published in:IOP Conference Series: Earth and Environmental Science
Language:
Not determined
DOI:
10.1088/1755-1315/440/2/022072
ISSN:
1755-1307;
1755-1315
Origination:
Footnote:
Description:
<jats:title>Abstract</jats:title>
<jats:p>This paper analyzes the current popular machine vision modules and various manipulator in the market. It independently realizes the reading of two-dimensional code information, the recognition of material color and shape, and the intelligent grasping system of grasping. By screening the existing commercial motors and the whole positioning system composed of orthogonal encoder and all-directions wheel, it realizes the positioning and moving system that can plan the path autonomously. It realizes self-reading information, identifying, grabbing and stacking materials through the combination of the above systems. This paper uses MATLAB software to calculate and adjust the positioning speed and position, and carries out the overall design and three-dimensional modeling of the robot for the above modules, and it performs static load analysis on the main components of the robot through the Solidworks Simulation module, and performs simulation experiments. After summarizing the function integration of the robot, the author puts forward the application of scenario hypothesis, proposes the application promotion scope for this scenario hypothesis, and conducts the simulation experiment. The results show that the robot is simple in design, easy to implement and conduct mass production, and it is practical and reliable, and has good positioning, grabbing and recognition effects. It can be widely promoted in the field of automation.</jats:p>