Abstract
Robotic systems need to achieve a certain level of process safety during the performance of the task and at the same time ensure compliance with safety criteria for the expected behaviour. To achieve this, the system must be aware of the risks related to the performance of the task in order to be able to take these into account accordingly. Once the safety aspects have been learned from the system, the task performance must no longer influence them. To achieve this, we present a concept for the design of a neural network that combines these characteristics. This enables the learning of safe behaviour and the fixation of it. The subsequent training of the task execution no longer influences safety and achieves targeted results in comparison to a conventional neural network.
DOI
10.1017/dsi.2019.210
Publication Date
2019-07-26
Publication Title
Proceedings of the Design Society: International Conference on Engineering Design
Volume
1
Issue
1
Publisher
Cambridge University Press (CUP)
ISSN
2220-4342
Embargo Period
2024-11-22
First Page
2041
Last Page
2050
Recommended Citation
Jocas, M., Kurrek, P., Zoghlami, F., Gianni, M., & Salehi, V. (2019) 'AI-Based Learning Approach with Consideration of Safety Criteria on Example of a Depalletization Robot', Proceedings of the Design Society: International Conference on Engineering Design, 1(1), pp. 2041-2050. Cambridge University Press (CUP): Available at: https://doi.org/10.1017/dsi.2019.210
