Credit Points: 2

Lecture: 2 hours

Prerequisites: Analysis of Production Systems (2)

Overview: The goal of the course is to present basic stages and methods of the projecting and manufacturing in automated production lines. The course addresses an implementation of different production technologies using computer integrated manufacturing systems, and considers the methods and problems of integration, control and testing of such systems.
The lectures of the course provide a theoretical background in line with parallel practice at the CIM laboratory.

Topics:

1. a) General overview, introduction and motivation to CIM. b) Robotics: Types of manipulators and movements, analytical representation, movement control and introduction to programming methods and ACL.

2. Vision systems: Digital representation of images, basic methods of image processing, principles of pattern recognition.

3. a) Mobile robots: Coordinates and trajectories, methods of path-planning, movements control. b) Human-Machine Interface (HMI): Communication scheme, types of interfaces, offline and on-line control, Programmable Logic Controllers (PLC): introduction into programming languages SFC/ST and LD.

4. Introduction to Android programming - Linux, Python.

5. Internet of Things (IoT), 3D production, introduction to social networks analysis.

6. Digital Control: Digital channel, data representation, logical operations and elements.

7. Computer Aided Manufacturing (CAM) and Numerical control (NC): Types of CNC-machines, axes and instruments movements, basic methods of G-code programming. 3D printing.

8. Agent-based simulation, networks, distributed robot systems, data fusion.

9. Advanced topics in vision - deep learning.

10. CIM Lab exam.

11. Advanced topics in PLC applications.

12. Advanced topics in AI, machine learning and software defined networking (SDN) applications..

Grading scheme: Mid-term exam 20%

Final exam 80%