Module 1. Robotics systems in the Industry 4.0
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Duration: 10 hours
EQF: 4
ECVET: 0,4 C
Activity 1 - Introduction lecture - Overview on robotics and automation
Step 1: Present students with an overview of:
definition and origin of robotics
different types of robotics
various generations of robots
the basic structure of a robot
Asimov's laws of robotics
Activity 2 - Group work - Types and functions of robots (and sensors) for robotic application
Step 1: Present to students the types of applications of robotic solutions in Industry 4.0 and the brief sensor characteristic.
Step 2: Divide the students into 3 groups (the manipulation robotic system group, the mobile robotic system group, and the data acquisition robotic group).
Step 3: Ask groups to design a plan to apply a specific type of robot in an industry of their choice. The plan should also assume the potential benefits of the proposed solution and how the various sensors will be used.
Step 4: Lead and moderate the discussion, during which each group presents its plan for using robots in the industry.
Activity 3 - Lecture and multimedia presentation - Human-robot interaction and collaborative robots
Step 1: Present students with the basics of HRI: main features of human-computer interaction definition of artificial intelligence basic principles of NLU and learning psychological types of collaborative robots
Step 2: Show the students videos demonstrating the work and operation of COBOTS (e.g. Kuka, Rethink Robotics, ABB, Fanuc).
Step 3: Lead and moderate the discussion on the videos watched and HRI.
Activity 4 - Group work - Exam preparation
Step 1: Ask students to prepare questions for a quiz.
Step 2: Divide the students into two or more groups. Students are asked to compete in groups, trying to correctly answer the questions asked by the opposing group. The group with the most points wins.
Tools and materials needed:
Laptop
projector
charts
Key Learning Outcome(s)
K1 To describe robot components, characteristics and applications.
K4 To list types of collaborative robots (collaborative, Anthropomorphic Systems, Cobots, etc…).
Assessment methodology: at the end of the module, students take an exam (based on the issues discussed in the activities, 60% pass threshold). Students from the group that won the quiz received an additional point for their exam score.
Sample literature:
M. Gurgul, “Industrial robots and cobots: Everything you need to know about your future co-worker”, Michal Gurgul, 2019.
M. P. Groover, M. Weiss, R. N. Nagel, N. G. Odrey, A. Dutta, “Industrial
Robotics: Technology, Programming and Applications”, McGraw-Hill, 2017.
J. J. Craig, “Introduction to robotics: Mechanics and control”, 3rd Edition, Pearson/Prentice Hall, 2005.
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