Title :
Artificial curiosity driven autonomous knowledge discovery based on learning by interaction
Author :
Ramik, Dominik Maximilian ; Sabourin, Christophe ; Madani, Kurash
Author_Institution :
Images, Signals & Intell. Syst. Lab., Univ. PARIS-EST Creteil (UPEC), Lieusaint, France
Abstract :
In this work we investigate the development of a real-time intelligent system allowing a humanoid robot to discover its surrounding world and to learn autonomously new knowledge about it by semantically interacting with human. The learning is performed by observation and by interaction with a human tutor. We describe the system in a general manner, and then we apply it to autonomous learning of objects and their colors. We provide experimental results as well using simulated environment as implementing the approach on a humanoid robot in a real-world environment including every-day objects. We show, that our approach allows a humanoid robot to learn without negative input and from small number of samples.
Keywords :
data mining; human-robot interaction; humanoid robots; learning (artificial intelligence); artificial curiosity driven autonomous knowledge discovery; autonomous learning; humanoid robot; learning by interaction; real-time intelligent system; Feature extraction; Human-robot interaction; Humanoid robots; Image color analysis; Organisms; Robot sensing systems; Artificial curiosity; Automated interpretation; Autonomous learning; Intelligent system; Semantic robot-human interaction; Visual saliency;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6663049