After successful completion of the course, students are able to understand, develop, and evaluate assistive technologies and human-machine-interaction in industrial settings. Furthermore, students are able to determine the goals, requirements, and boundary conditions of different technologies, e.g. context-aware work systems, machine learning, augmented reality, or mobile robots.

Successful integration of assistance systems requires theoretical and practical understanding of the state of the art concepts. Following topics will be presented and discussed in the course:

• Human-machine-cooperation
• Artificial intelligence (machine learning, deep learning)
• Context-aware computing and personalisation for work systems
• Mobile robotics
• Human-computer-interaction for industrial systems (gesture and speech recognition, augmented and virtual reality)
• Physical support systems and ergonomics
• Privacy at work (consequences of tracking, explainable AI)

• The course is structured in three phases that are graded separately:

  1. Lectures and exam: the course consists of eight individual lectures, which will cover the content of assistance systems. The lecture videos are available via TUWEL. A short exam will be conducted at the end of the semester.
  2. Individual assignments: three individual assignments will be handed, covering topics such as machine learning, mobile robotics, and augmented reality. Code templates and detailed instructions will be provided. (15% of the grade)
  3. Group project: students are presented seven project options, including topics such as speech recognition, human-robot-collaboration, brain-computer-interface, or recommender systems. Programming will be carried out in Python. The implementation will be performed in the pilot factory of TU Wien. The results will be presented during the demo day. (50% of the grade)

ECTS breakdown: 3 ECTS = 75h

25h lectures, exam preparation, exam

15h individual assignments

35h group project (implementation, presentation, report)

Immanent

The course will be graded as follows:

1. Exam - 35% of the grade
2. Individual assignments – 15% of the grade
3. Group project – 50% of the grade

Please refer to additional information for the detailed ECTS breakdown.

Students are expected to understand basic concepts of programming (e.g. Python or another OOP language). Previous knowledge on assistance systems (e.g. Assistance Systems in Manufacturing 1) is beneficial, but not a prerequisite.