Ensuring Workplace Safety in Goal-based Industrial Manufacturing Systems
Journal
Proceedings of the 14th International Conference on Semantic Systems (SEMANTICS 2018)
Type
book section
Date Issued
2018
Author(s)
Abstract (De)
One of the most critical challenges in human-robot collaborative work settings is ensuring the health and safety of the involved human workers. We propose to integrate task-level planning with semantically represented workplace safety rules that are published by regulatory bodies, meaning that our system can adapt to produce different variants of a product while respecting workplace safety regulation. Our prototype system interacts with human workers and machine agents via Activity Streams and a speech synthesis interface, and we have shown that its SPIN reasoning engine can scale to scenarios that incorporate complex products and many agents. The current system state and action logs of the agents and products are easily observable using a dashboard interface. The semantic models were evaluated by five experts in workplace safety and process engineering who expressed confidence about using, maintaining, and even extending the models themselves after only negligible training, a crucial factor for the real-world adoption of such systems.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Start page
90
End page
101
Event Title
Proceedings of the 14th International Conference on Semantic Systems, SEMANTICS 2018, Vienna, Austria, September 10-13, 2018
Official URL
Subject(s)
Division(s)
Eprints ID
255800
File(s)![Thumbnail Image]()
open.access
Name
ESWC_2018__Ensuring_Workplace_Safety_in_Goal_based_Industrial_Manufacturing_Systems.pdf
Size
2.54 MB
Format
Adobe PDF
Checksum (MD5)
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