Title :
Intention inference learning through the interaction with a caregiver
Author :
Cohen, Lawrence ; Abbassi, Walyd ; Chetouani, Mohamed ; Boucenna, Sofiane
Author_Institution :
Inst. des Syst. Intelligents et de Robot., Univ. Pierre et Marie Curie, Paris, France
Abstract :
Humans are experts in understanding others´ intention. This capacity is essential to interact and collaborate with others. Thus, providing a robot with this capacity is a key improvement for further developments in socially interactive robotics. This work exploits a mirroring scenario between aa caregiver and a robot to develop an intention inference capacity without providing a priori knowledge to the robot. A sensory-motor architecture is used to learn autonomously associations between the robot´s internal states and its perception.
Keywords :
human-robot interaction; inference mechanisms; learning (artificial intelligence); Intention inference learning; caregiver interaction; humans; intention inference capacity; mirroring scenario; robot internal states; sensory-motor architecture; socially interactive robotics; Computer architecture; Feature extraction; Grounding; Pediatrics; Robot sensing systems; Visualization;
Conference_Titel :
Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint IEEE International Conferences on
Conference_Location :
Genoa
DOI :
10.1109/DEVLRN.2014.6982971