Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour, 50 minutes
Workload:
4 hours
Proficiency:
Intermediate
Target:
Manager, Professionals
In a mass customized production, an upcoming Industry 5.0 concept starts to introduce innovative ways of organizing Human-Centric production systems that allow enhancing flexibility, and effective task distribution between robotic agents and human laborers, enabling a high level of predictiveness considering individual aspects of a human worker.
The upcoming educational materials learning path offers comprehensive nuggets that focus on collaborative production systems, IoT (Internet of things), wearables, digital twins, ergonomics, and human-machine interfaces. This learning path is designed for individuals interested in gaining expertise in these emerging fields and staying up-to-date with the latest advancements and practicalities.
At the end of the Learning Path, the users will be able to:Identify enabling factors for the assessment and optimization of ergonomic factors for an operator.Implement a Digital Twin of the Human Operator using Visual Components;Conclude what are the most relevant scenarios where using Digital Twin of the Human Operator may benefit a business.
Learning outcomes
- After completing the learning module, the user will be able to describe what ergonomics is and identify enabling factors for the assessment and optimization of ergonomic factors for an operator.
- After completing the learning module, the user will be able to design and develop a Digital Twin of collaborative production units that include collaborative robots and human operator.
- After completing the learning module, the user will be able to apply IEC 61499 in the design of collaborative production systems.
LessonWearable technologies use cases
Course Content
LessonWearable sensor technologies - overview
Course Content
LessonAbout ergonomic and well-being aspects in industries, current state
Course Content
LessonIntroduction to Biomimetics
Course Content
LessonHuman-Related Dataflow Management
Course Content
LessonHuman-Related Dataflow Management - Quiz
Course Content
LessonHuman-Related Parameters in a Digital Twin
Course Content
LessonHuman-Related Parameters in a Digital Twin - Quiz
Course Content
LessonHuman-Machine Interaction: Ergonomics & Digital Twin - Quiz
Course Content
Topics
Automation and Robotics, Digital Transformation, Cobots, Internet of Things (IoT), Digital Twin