Smart approaches to deal with complex CPS and intelligent robotics

Modul »CPS-Series A2. Decision Making using Expert Systems and Machine Learning«

To support the human in CPS and robotic environments, data derived from these systems can be used as decision support. This module covers two approaches: On the one hand it covers the modeling of expert systems, on the other hand it introduces to machine learning as a way to deal with the raising complexity in CPS and robotic environments.

Target groups: Mechanical or Electrical Engineers

Duration: 2-3 days

Language: English

Costs: 590 € per participant and day (basic calculation). Individual cost calculation on request.

Learning locations: according to prior agreement in your company or within one of our Institutes.

Schedules: Enterprise specific on demand

Characteristics of the Module:

  • Hands-on qualification based on state-of-the-art infrastructure (scientific labs and fabs)
  • Transfer of latest knowledge from research
  • Top quality provided by lectureres from RWTH Aachen

Prerequisites:

  • Good skills in at least one modern object-oriented programming language (Java / C# / C++)
  • Fluent in English
  • Active participation by contribution of experiences from your daily work
  • Successfully attended the fundamentals Modul CPS-Series F1

 

Knowledge representation

World knowledge (facts)

  • Heuristic knowledge (rules)
  • Procedural knowledge (functions)

Decision support via Expert Systems

Decision support via machine learning

Regarding any type of question contact Armin Ritter, Fraunhofer Academy.