AI-Based Learning Approach with Consideration of Safety Criteria on Example of a Depalletization Robot
dc.contributor.author | Jocas, M | |
dc.contributor.author | Kurrek, P | |
dc.contributor.author | Zoghlami, F | |
dc.contributor.author | Gianni, Mario | |
dc.contributor.author | Salehi, V | |
dc.date.accessioned | 2021-09-28T11:20:57Z | |
dc.date.issued | 2019-07-26 | |
dc.identifier.issn | 2220-4334 | |
dc.identifier.issn | 2220-4342 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/17969 | |
dc.description.abstract |
<jats:title>Abstract</jats:title><jats:p>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.</jats:p> | |
dc.format.extent | 2041-2050 | |
dc.language.iso | en | |
dc.publisher | Cambridge University Press (CUP) | |
dc.subject | 1.2 Psychological and socioeconomic processes | |
dc.title | AI-Based Learning Approach with Consideration of Safety Criteria on Example of a Depalletization Robot | |
dc.type | conference | |
dc.type | Conference Proceeding | |
plymouth.issue | 1 | |
plymouth.volume | 1 | |
plymouth.publication-status | Published | |
plymouth.journal | Proceedings of the Design Society: International Conference on Engineering Design | |
dc.identifier.doi | 10.1017/dsi.2019.210 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2019-01-01 | |
dc.rights.embargodate | 2021-9-29 | |
dc.identifier.eissn | 2220-4342 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1017/dsi.2019.210 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2019-07-26 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract |