Name
Abstract | ||
|---|---|---|
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which comprise a behavior-based and a deliberative part. The sensor data are used in the form of time series curves of behavior activation values. Recurring patterns in individual behavior activation curves are aggregated to well-defined patterns, like edges and levels, called qualitative activations. Sets of qualitative activations for different behaviors occurring in the same interval of time are summed to activation gestalts. Sequences of activation gestalts are used for defining chronicles, the recognition of which establishes evidence for the validity of ground facts. The approach in general is described, and examples for a particular behavior-based robot control framework in simulation are presented and discussed. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45422-5_22 | KI/ÖGAI |
Keywords | Field | DocType |
behavior-based robots,particular behavior-based robot control,different behavior,sensor data stream,hybrid control architecture,extracting situation facts,ground fact,individual behavior activation curve,activation value histories,sensor data,behavior activation value,qualitative activation,activation gestalt,time series,behavior based robotics,symbol grounding | Robot control,Data stream,Computer science,Autonomous system (mathematics),Artificial intelligence,Autonomous robot,Robot,Robotics,Dynamical system,Feed forward | Conference |
ISBN | Citations | PageRank |
3-540-42612-4 | 6 | 0.91 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Schönherr | 1 | 6 | 0.91 |
| Mihaela Cistelecan | 2 | 6 | 1.93 |
| Joachim Hertzberg | 3 | 1571 | 142.29 |
| thomas christaller | 4 | 350 | 105.69 |