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Title: An Interdisciplinary Laboratory for Teaching Artificial Intelligence and Manufacturing PDF
Url: https://citeseerx.ist.psu.edu/doc_view/pid/a728a9b28349819c679ad2b458b...
Publisher: Oakland University
Description: Global Competition has played a major role in the awakening of US industry to the need to improve the understanding and control of their manufacturing processes. Hence, many universities in the US have in recent years developed manufacturing laboratories. One of these is the Oakland University School of Engineering and Computer Science's Artificial Intelligence and Manufacturing (AIM) Laboratory. Seed funding for the AIM Laboratory was provided by the National Science Foundation's Instrumentation and Laboratory Improvement (ILI) Program. Additional funds and equipment were provided by Fanuc Robotics N.A. Inc., Siemens Energy and Automation Inc. and Carnegie Group Inc. The AIM Laboratory is an interdisciplinary project proposed and developed by engineering and computer science faculty from Oakland University's Electrical and Systems Engineering Dept. and its Computer Science and Engineering Dept. Its purpose is to provide facilities for education concerning issues involving automated manufacturing as well as the application of artificial intelligence techniques and computer networks to manufacturing systems. Students also learn about the integration of people in the modern manufacturing environment through their involvement in team-based projects. Currently, two major systems in the AIM Laboratory are used to satisfy its educational mission. These are the Intelligent Manufacturing Cell and the Intelligent Factory. The Intelligent Manufacturing Cell and the Intelligent Factory were developed, and are continuously being modified, using several individual student projects as well as class-based projects. These projects allow students the opportunity to be involved in the design and development of hardware and/or software for a complex manufacturing system.
LC Classification: Science -- Science (General) -- Cybernetics -- Self-organizing systems. Conscious automata -- Artificial intelligence
Technology -- Manufactures -- Production management. Operations management -- Manufacturing engineering. Process engineering
Technology -- Mechanical engineering and machinery -- Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
GEM Subject: Science -- Engineering
Vocational Education -- Trade and industrial
Key Concept: Computer science -- Artificial intelligence
Mechanical engineering -- Robotics
Resource Type: Reference Material
Instructional Material -- Instructor Guide/Manual
Format: Document -- PDF
Audience: Educator
Learner
Education Level: High School
Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Access Rights: Free access
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Source Type: ATE Center
Source: National Center for Manufacturing Education
Full Record Views: 26
Resource URL Clicks: 32
Cumulative Rating: NOT YET RATED
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