Journal article
Educational automated manufacturing cobot work cell in conjunction with machine vision
Manufacturing letters, v 46, pp 152-155
01 Dec 2025
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
•Develop an educational manufacturing automated system interacting with a 3D printer, a collaborative robot (cobot), and a vision system.•Provide a work cell integrating various manufacturing machinery on an educational level into a cohesive learning module.•Supply students with a practical understanding of the hands-on operations for experiential learning involved in a modern manufacturing work environment.•Gain knowledge of how vision systems and robots/cobots constitute essential components of the Industry 4.0 paradigm and smart manufacturing.
This paper presents the design, construction, and programming of an automated collaborative robot (cobot) work cell in conjunction with machine vision, specifically tailored for educational purposes within STEM fields. The work cell integrates various manufacturing machinery on an educational level into a cohesive learning module, providing students with a practical understanding of the operations involved in a modern manufacturing work environment. The primary objective is to offer engineering students direct exposure to integrated equipment functionalities, including a conveyor belt for part transport, a machine vision system with a photoelectric sensor array for part detection and quality assurance, a 6-degree-of-freedom cobot, and a 3D printer, which is replaceable to facilitate easy transitions between different technologies. Additionally, the project is designed to be adaptable, accommodating ongoing technological advancements and thus expanding the range of topics and experiences available to students. This setup serves as a versatile educational tool, enhancing learning experience by bridging theoretical knowledge with hands-on practice in manufacturing processes.
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Details
- Title
- Educational automated manufacturing cobot work cell in conjunction with machine vision
- Creators
- Richard Y. Chiou - Drexel University, Engineering TechnologyTzu-Liang (Bill) Tseng - The University of Texas at El PasoMd Fashiar Rahman - The University of Texas at El PasoYalcin Ertekin - Drexel University, Engineering Technology
- Publication Details
- Manufacturing letters, v 46, pp 152-155
- Publisher
- Elsevier Ltd
- Number of pages
- 4
- Grant note
- US Department of Education under the joint MSEIP ProgramUniversity of Texas at lPaso: P120A220044
This work has been supported by the US Department of Education under the joint MSEIP Program with the University of Texas at lPaso, PR/Award No.:P120A220044. The authors wish to express sincere gratitude for their financial support.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:001633442900002
- Scopus ID
- 2-s2.0-105023197113
- Other Identifier
- 991022132154304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Manufacturing
- Materials Science, Multidisciplinary