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Peter Krauthausen

Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation

(Karlsruhe Series on Intelligent Sensor-Actuator-Systems ; 11)

AutorKrauthausen, Peter

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783866449527

UmfangXIV, 210 S.

Veröffentlicht
am:
13.06.2013

Erscheinungs-
jahr
2013

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000031356

Abstract

This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.