REPLACEMENT OF HUMAN OPERATOR WITH VISION-GUIDED ROBOT FOR ELECTRONIC COMPONENT PICK-AND-PLACE WORK CELL
1 online resource (115 pages) : PDF
University of North Carolina at Charlotte
Picking and placing parts is a fundamental operation involved in circuit board manufacturing and assembly plants. Pin thru-hole (PTH) components with non-standard features are incompatible with most existing high speed pick-and-place systems; this results in the use of manual operators to perform the circuit board assembly process. The inclusion of a human element in an otherwise automated manufacturing plant introduces a variety of unfavorable effects including decreased throughput rates and increased errors. In this research, I have developed an initial framework which allows for automated circuit board assembly of non-standard electrical component types. An articulated robotic manipulator with 6 degrees of freedom (DOF) was guided by precisely calibrated machine vision cameras to obtain workspace information. A model based object recognition approach was used for the identification and subsequent localization of components and their placements, which demonstrated robust and repeatable results among the different components tested. The experimental data demonstrates a decrease over the current average human throughput rate as well as reduced error frequency, with future work identified to further optimize the performance results.
AUTOMATED MANUFACTURINGMACHINE VISIONOBJECT RECOGNITIONPCB ASSEMBLYPICK-AND-PLACEROBOTICS
Applied Energy & Electromechanical System
Shin, MinNoras, Maciej
Thesis (M.S.)--University of North Carolina at Charlotte, 2016.
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