Abstract
The design of a course on human-machine interaction is based on interactive cyber-physical systems, such as humanoid robots, and focusses on the application of complex knowledge combining different disciplines such as mechanical and electrical engineering and technical computer science. Thus, the concept must provide not only the basics of human-machine interaction, but also fundamentals of modelling, measuring and controlling. The functionalities of the chosen interactive cyber-physical system should be easily accessible by possessing a user-friendly software. For hands-on experience, the construction must be robust, and complex interaction should be supported by signal processing tools. Initially the humanoid NAO robot is chosen as learning tool, which provides a great variety of interactive features, is easy to program, and possesses a motivational design. As the course focusses on human-machine interaction the basic features and functionalities also should be compared with an alternative robotic platform, here the Robotis OP2 might be an alternative. So, in this contribution the challenges and opportunities of using different humanoid robotic platforms and their impact on course design human-machine interaction with respect to sustainable constraints are discussed.
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Dederichs-Koch, A., Zwiers, U. (2023). Integrating Sustainable Aspects to Robotic Application and Its Impact on Course Design in Human-Machine Interaction. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds) Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-031-26190-9_22
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