In this paper a cobot system is presented, that extends a Universal Robot with Artificial Intelligence
(i.e., machine learning techniques) to allow for a safe human-robot collaboration, which is one of the
main technologies in Industry 4.0 and is currently significantly changing the shop floor of manufacturing
companies. Typically, these cobots are equipped with a camera to dynamically adapt to new
situations and actions carried out by the worker who is collaborating with the robot in the same
workspace. But obviously, switching from traditional industrial robots (acting completely isolated
from humans) to smart robots also requires a change concerning the skills and knowledge workers
must have to be able to control, manage, and interact with such cobot systems. Therefore, the main
goal of this demonstrator is to develop a hard- and software environment, enabling a variety of different
training scenarios to get trainees, employees, and students familiar with the main technical
aspects of such human-robot interaction. Besides hardware and software related aspects, the paper
will also briefly address the learning content, which is on the one hand, the basics of robotics and
machine learning based image processing, and on the other hand, the interaction of the various
components to form a functional overall system.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:89678 |
| Date | 12 February 2024 |
| Creators | Schubert, Tobias, Heßlinger, Sebastian, Dwarnicak, Alexander |
| Contributors | Hochschule für Technik, Wirtschaft und Kultur Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-3-910103-02-3, urn:nbn:de:bsz:l189-qucosa2-896465, qucosa:89646 |
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