Name
Abstract | ||
|---|---|---|
Designing a reconfigurable manufacturing robotic workcell is a complex and resource demanding procedure. In this work a multi criteria index is introduced, allowing the designer to evaluate the various anatomies achieved by a reconfigurable manipulator, and to define the area in the manipulator's configuration space where a task can be accomplished with good performance under the selected performance measure. An adaptive neuro-fuzzy inference system is trained, in order to rapidly produce the index value for arbitrary anatomies achieved by the manipulator. The system is tested using a case study reconfigurable manipulator, and the derived results determined by the system after its training are presented and compared to the actual index value for calculated for the relevant anatomy. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15390-7_35 | KES (2) |
Keywords | Field | DocType |
reconfigurable robot,multi criteria index,arbitrary anatomy,actual index value,case study reconfigurable manipulator,configuration space,reconfigurable manipulator,selected performance measure,rapid evaluation,computational intelligence,good performance,adaptive neuro-fuzzy inference system,index value,adaptive neuro fuzzy inference system,indexation | Computational intelligence,Computer science,Manipulator,Artificial intelligence,Adaptive neuro fuzzy inference system,Robot,Workcell,Configuration space,Inference system | Conference |
Volume | ISSN | ISBN |
6277 | 0302-9743 | 3-642-15389-5 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harry Valsamos | 1 | 0 | 0.34 |
| Vassilis Moulianitis | 2 | 7 | 2.65 |
| Nikos A. Aspragathos | 3 | 243 | 37.69 |