Knowledge-Based Instrumentation and Control for Competitive Industry-Inspired Robotic Domains
| Document Type: | Article |
|---|---|
| Language: | English |
| Author: | Tim Niemueller, Sebastian Zug, Sven Schneider, Ulrich Karras |
| Parent Title (English): | KI - Künstliche Intelligenz |
| Volume: | 30 |
| Issue: | 3-4 |
| First Page: | 289 |
| Last Page: | 299 |
| ISSN: | 0933-1875 |
| DOI: | https://doi.org/10.1007/s13218-016-0438-8 |
| Publisher: | Springer |
| Place of publication: | Berlin, Heidelberg |
| Date of first publication: | 2016/08/06 |
| Note: | T. Niemueller (RWTH Aachen) was supported by the German National Science Foundation (DFG) research unit FOR 1513 on Hybrid Reasoning for Intelligent Systems (http://www.hybrid-reasoning.org). |
| Note: | (c) Springer-Verlag Berlin Heidelberg 2016 |
| Keyword: | Autonomy; Benchmarking; Factory instrumentation; Industry 4.0; Mobile robotics; RoboCup industrial; Rule-based production systems; Smart factory |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2016/08/12 |
