Evaluating movement skills from extended neural complexity

For a robot to learn complex movement skills, programming by demonstration and/or learning by trial and error is necessary. Measuring the complexity of such movement skills is important to decide the appropriate learning model, and the required size of dataset and additional prior knowledge. To deal...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Woo Young Kwon, Il Hong Suh, Bum-Jae You, Sang-Rok Oh
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Complexity measure Complexity theory Entropy Gaussian distribution Movement skills Mutual information Neural complexity Random variables Robots Time measurement Time-sliced Neural Complexity
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!