The objective of this paper is to describe teaching modules developed at Wayne State University integrate collaborative robots into existing industrial automation curricula. This is in alignment with Oakland Community College and WSU’s desire to create the first industry-relevant learning program for the use of emerging collaborative robotics technology in advanced manufacturing systems. The various learning program components will prepare a career-ready workforce, train industry professionals, and educate academicians on new technologies. Preparing future engineers to work in highly automated production, requires proper education and training in CoBot theory and applications. Engineering and Engineering Technology at Wayne State University offer different robotics and mechatronics courses, but currently there is not any course on CoBot theory and applications. To follow the industry needs, a CoBot learning environment program is developed, which involves theory and hands-on laboratory exercises in order to solve many important automaton problems. This material has been divided into 5-modules: (1) Introduce the concepts of collaborative robotics, (2) Collaborative robot mechanisms and controls, (3) Safety considerations for collaborative robotics, (4) Collaborative robot operations and programming, (5) Collaborative robot kinematics and validation. These modules cover fundamental knowledge of CoBots in advanced manufacturing systems technology. Module content has been developed based on input and materials provided by CoBot manufacturers. After completing all modules students must submit a comprehensive engineering report to document all requirements.
[1]
Jeremy L. Rickli,et al.
A Framework for Collaborative Robot (CoBot) Integration in Advanced Manufacturing Systems
,
2016
.
[2]
Jörg Krüger,et al.
Intelligent Assist Systems for Flexible Assembly
,
2006
.
[3]
Brian Peacock,et al.
Cobots for the automobile assembly line
,
1999,
Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).
[4]
Hao Ding,et al.
Structured collaborative behavior of industrial robots in mixed human-robot environments
,
2013,
2013 IEEE International Conference on Automation Science and Engineering (CASE).
[5]
Ana Djuric,et al.
Baxter Kinematic Modeling, Validation and Reconfigurable Representation
,
2016
.
[6]
J. Denavit,et al.
A kinematic notation for lower pair mechanisms based on matrices
,
1955
.