University of Twente Student Theses
Implementing machine learning in Industrial Robots for better human-robot cooperation
Heijdens, R.H.M. (2017) Implementing machine learning in Industrial Robots for better human-robot cooperation.
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| Abstract: | Industrial robotic control has not changed significantly over the last years. Robots still rely on pre- determined machine instructions in order to work. Newly developed cooperative robots uses the same control mechanisms. This method has little input from the environment to make decisions. This obstructs human-robotic cooperation during operation. In order to improve human-robotic cooperation, a design of a new controller for industrial robots is presented enabling a more human-friendly cooperation trough machine learning algorithms. These algorithms create other methods to program industrial robots, and makes robots more exible. A prototype is build as a proof of concept. It also forms a base which enables future development of software for the ABB YuMi robot. |
| Item Type: | Essay (Bachelor) |
| Faculty: | ET: Engineering Technology |
| Subject: | 21 art forms |
| Programme: | Industrial Design BSc (56955) |
| Awards: | KIVI/TValley scriptieprijs 2018 |
| Link to this item: | https://purl.utwente.nl/essays/73968 |
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