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portada Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation
Type
Physical Book
Publisher
Author
Language
English
Pages
236
Format
Paperback
ISBN13
9783866449527

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

Peter Krauthausen (Author) · Kit Scientific Publishing · Paperback

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

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

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.

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