Name
Title | ||
|---|---|---|
A knowledge base for learning probabilistic decision making from human demonstrations by a multimodal service robot |
Abstract | ||
|---|---|---|
This paper presents a description logic based system to store and retrieve knowledge used in models for autonomous probabilistic decision making by multimodal service robots. These models are mainly generated by observation and analysis of humans performing tasks, the programming by demonstration methodology. As formal model representation, partially observable Markov decision processes (POMDPs) are utilized as they are a well understood formal framework for decision making considering real world uncertainty in both perception and execution. The approach presented here deals with aspects of organizing knowledge which cannot be retrieved from user demonstrations or which is valid beyond a single task. It is shown how use it in the process of model generation on a real service robot. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICAR.2011.6088640 | ICAR |
Keywords | Field | DocType |
markov processes,automatic programming,robot programming,service robots,autonomous probabilistic decision making,description logic,formal model representation,human demonstrations,knowledge base,multimodal service robots,partially observable markov decision processes,programming by demonstration methodology,computer model,planning,ontologies,knowledge based systems,human performance,knowledge based system,computational modeling | Programming by demonstration,Computer science,Markov decision process,Knowledge-based systems,Description logic,Artificial intelligence,Probabilistic logic,Knowledge base,Automatic programming,Service robot | Conference |
ISBN | Citations | PageRank |
978-1-4577-1158-9 | 2 | 0.37 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Schmidt-Rohr, S.R. | 1 | 8 | 1.92 |
| Dirschl, G. | 2 | 2 | 0.37 |
| Meissner, P. | 3 | 2 | 0.37 |
| Rüdiger Dillmann | 4 | 2201 | 262.95 |