Name
Abstract | ||
|---|---|---|
We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks. Behavior coordination is obtained by fuzzy conditions and motivations evaluated on information provided by intelligent sensors and a world modeler. We also discuss the compatibility of our architecture with cognitive models. We present the application of this architecture in one of the domains we have faced with it: service and edutainment robotics. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0165-0114(02)00232-4 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
edutainment robotics,world modeler,fuzzy behavior module,autonomous agent,fuzzy condition,behavior-based robotics,fuzzy systems,real-time task,behavior coordination,autonomous robot,agent architecture,cognitive model,intelligent sensor,cognitive robotics,robotic architecture,behavior based robotics,fuzzy system,real time | Cognitive robotics,Autonomous agent,Fuzzy logic,Agent architecture,Artificial intelligence,Reference architecture,Behavior-based robotics,Fuzzy control system,Autonomous robot,Mathematics | Journal |
Volume | Issue | ISSN |
134 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
19 | 1.21 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Bonarini | 1 | 623 | 76.73 |
| Giovanni Invernizzi | 2 | 20 | 1.58 |
| thomas halva labella | 3 | 130 | 9.32 |
| Matteo Matteucci | 4 | 641 | 80.97 |