425 search results - page 19 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
104
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ICCS
2001
Springer
15 years 4 months ago
2001
Springer
Automatically generating Conceptual Graphs (CGs) [1] from natural language sentences is a difficult task in using CG as a semantic (knowledge) representation language for natural l...
IJRR
2002
14 years 11 months ago
2002
In this paper we describe a new technique for the creation of featurebased stochastic maps using standard Polaroid sonar sensors. The fundamental contributions of our proposal are...
ICRA
2005
IEEE
15 years 5 months ago
2005
IEEE
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...
ICRA
2007
IEEE
15 years 6 months ago
2007
IEEE
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
112
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ICML
2001
IEEE
16 years 15 days ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...