Title | ||
---|---|---|
Automation of robotic assembly processes on the basis of an architecture of human cognition |
Abstract | ||
---|---|---|
A novel concept to cognitive automation of robotic assembly processes is introduced. An experimental assembly cell with two
robots was designed to verify and validate the concept. The cell’s numerical control—termed a cognitive control unit (CCU)—is
able to simulate human information processing at a rule-based level of cognitive control. To enable the CCU to work on a large
range of assembly tasks expected of a human operator, the cognitive architecture SOAR is used. On the basis of a self-developed
set of production rules within the knowledge base, the CCU can plan assembly processes autonomously and react to ad-hoc changes
in assembly sequences effectively. Extensive simulation studies have shown that cognitive automation based on SOAR is especially
suitable for random parts supply, which reduces planning effort in logistics. Conversely, a disproportional increase in processing
time was observed for deterministic parts supply, especially for assemblies containing large numbers of identical parts. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/s11740-011-0316-z | Production Engineering |
Keywords | Field | DocType |
cognitive automation soar assembly joint cognitive systems,cognitive architecture,human cognition,rule based,numerical control,knowledge base | Information processing,Computer science,Automation,Manufacturing engineering,Control unit,Artificial intelligence,Knowledge base,Cognitive model,Soar,LIDA,Cognitive architecture,Distributed computing | Journal |
Volume | Issue | ISSN |
5 | 4 | 1863-7353 |
Citations | PageRank | References |
7 | 0.69 | 5 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marcel Ph. MayerChristopher | 1 | 7 | 0.69 |
Christopher M. Schlick | 2 | 113 | 31.00 |
Daniel Ewert | 3 | 31 | 3.56 |
Daniel Behnen | 4 | 8 | 1.04 |
Sinem Kuz | 5 | 14 | 3.17 |
Barbara Odenthal | 6 | 20 | 5.34 |
Bernhard Kausch | 7 | 18 | 3.97 |