Open AccessRobot tangram assembly line based on vision
Author(s) -
Shuo Qin
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2229/1/012017
Subject(s) - robot , automation , production line , industrial robot , computer science , automotive industry , manufacturing engineering , software , artificial intelligence , machine vision , robotic arm , engineering , operating system , mechanical engineering , aerospace engineering
With the development of smart manufacturing technology, the cost of industrial robots is reduced and reliability enhanced. Applying several robots for automated production lines will be more popular. The extended application of industrial robots can improve the level of automation in industrial production and break the boundaries of technology and costs. The project focuses on "Tangram assembly line". This project takes "tangram assembly line" as the research object, and uses the kinematics model and path planning method of industrial robots to complete the identification, assembly and disassembly of tangram. "Tangram" simulated industrial products, based on two-dimensional vision to carry out image processing, identify the position and Angle of the object information, through writing robot program, the final completion of the object splicing and disassembly work. CoppeliaSim Edu software simulation results prove that the project can be efficient, high quality to complete the expected task.