Objective
This course aims to have you develop the ability to combine various elements of robotic automation to create systems that improve manufacturing productivity.
Specific objectives
Appraise industrial robot applications based on basic characteristics of robots and in the context of manufacturing environments.
Design robot systems within specified constraints for manufacturing applications that satisfy requirements in terms of productivity, flexibility and sustainability.
Analyse and simulate the motion of an articulated robot arm.
Execute the programming of the motion of a robot that combines various elements of automation.
Analyse process flow relating to industrial robot systems and custom-built manufacturing automation.
Lectures (syllabus) - Courses
Introduction to Industrial Robotics
a. General aspects regarding the design of industrial robotic systems
Quality and performance planning of industrial robotic systems
a. Performance planning techniques of a robotic system
Principles and techniques of design and integration of industrial robotic systems in production processes
a. Types of robots, motors, actuators, position, and force sensors
Sensors used in industrial robotic systems.
a. Position sensors, force, LIDAR, etc.
Auxiliary devices used in robotic systems
a. Types of feeders, types of gripping and orientation devices used in industrial robotic systems
Designing the layout of the industrial robotic cell/system
a. Highlighting the importance of designing the layout of a production facility, layout optimization algorithms (e.g. CRAFT, genetic algorithms, sworm intelligence)
Communication and Interfacing in Industrial Robotic Systems
a. Communication protocols, interfacing robots with other equipment.
8. Safety and ethics in industrial robotics
a. Safety standards, ethics of development and use of robotic systems.
Simulation and performance analysis of industrial robotic systems
a. The use of simulation software for testing and validating the performance of robotic systems.
Integrating robotic systems into production lines
a. Integration strategies, adaptation to existing processes.
Advanced technologies in industrial robotics
a. Collaborative robots, autonomous systems, machine learning applied in industrial robotics
Industrial robotics case studies and company visits
a. Practical examples of industrial robotic systems, visits to companies with robotic production lines.
Criteria for evaluating the performance of industrial robotic cells/systems
a. Performance evaluation methods of robotic systems
Trends and Perspectives in Industrial Robotics
a. Forecasts, current research, the impact of robotics and AI on industry.
The skills developed within this course will help robotics engineers to design automation and robotic solutions for various industrial process in order to increase quality, productivity, product customisation in the context of Smart Factory. Also the course deals with issues related to IoT (Internet of Things), and IIoRT (Internet of Robotic Things) in the context of Industry 4.0.
Note: To open the courses note files (*.pdf) you'll need a PASSWORD which you will receive at the first course!
Module 1
RFII - M1.1 Additional
RF II - Lecture #2(ro) Lecture #2(en)
RF II - M2.1 Additional
RF II - Lecture #3(ro) Lecture #3(en)
RF II - M3.1 Additional
RF II - M4.1 Additional
Module 2
RF II - M5.1 Additional
RF II - Lecture #6(ro) Lecture #6(en)
RF II - M6.1 Additional
RF II - M7.1 Additional
RF II - Lecture #8
RF II - M8.1 Additional
RF II - M9.1 Additional
Module 3
RF II - M10.1 Additional
RF II - Lecture #11
RF II - M11.1 Additional
RF II - M12.1 Additional
RF II - Lecture #13
RF II - M13.1 Additional
RF II - M14.1 Additional
Courses updated on :: 07.01.2025
Mocan, B., Robotization manufacturing II, course notes.
Mocan, B., Brad, S., Fulea, M., Automatizarea si Robotizarea Fabricatiei Structurilor Sudate, Editura UTPress, ISBN 978-606-737-052-2, 290 pg., Cluj-Napoca, 2015.
Siciliano, B., Khatib, O., Springer Handbook of Robotics, 2016.
Mocan, B., Brad, S., Fulea, M., Murar, M., Brad, E., Safety Management Within a Robotic Manufacturing System Through Layout Design, Acta Technica Napocensis, Series: Applied Mathematics, Mechanics and Engineering, Vol 61, No 3 Special Issue (September 2018), pp. 137-146, 2018.
Mocan, B., Fulea, M., Olaru, M. and Buchmüller, M., From Intuitive Programming of Robotic Systems to Business Sustainability of Manufacturing SMEs. Amfiteatru Economic, 18(41), pp. 215-231, (IF 0,564), 2016.
Mocan, B., Fulea, M., Brad, E. and Brad, S., State-of-the-Art and Proposals on Reducing Energy Consumption in the Case of Industrial Robotic Systems, Proceedings of the 2014 International Conference on Production Research – Regional Conference Africa, Europe and the Middle East; 3rd International Conference on Quality and Innovation in Engineering and Management, Cluj-Napoca, Romania, 1-5 July, ISBN: 978-973-662-978-5, pp. 328-334, 2014.
Mocan, B., Fulea, M., Brad, S., Reliability Assessment of Lean Manufacturing Systems, Proceedings of The 1st International Conference on Quality and Innovation in Engineering and Management , ISBN 978-973-662-614-2, pp. 127-130, 2011.
https://www.therobotreport.com/category/robots-platforms/industrial-robots/
https://www.bastiansolutions.com/blog/index.php/2015/10/09/robotic-cell-layout-considerations/
Mobile apps - Google Android: Industrial Automation Tutorial; Industrial Automation; Electrical Drives; Automation & Controls Today; Learn PLC SCADA
Youtube: The Robot Revolution: The New Age of Manufacturing; How industrial robot is made? ; Smart Factory; Internet of Things; IORT Internet of robotic things;
Robotic Blogs: Robotics Trends; Robot Facts That Everyone Should Know; Robotics within reach; Robotic News for the Factory; Smart Collaborative Robots; Powering the world's robots; Robotics; MIT Technology Review;