Diversive Curiosity in Robots and Action Selection Method for Obtaining Unexperienced Sensory Information

Autor:	Toma Morisawa, Ikuo Mizuuchi
Rok vydání:	2015
Předmět:	Relation (database) business.industry media_common.quotation_subject Sensory system Mobile robot Space (commercial competition) Action selection Action (philosophy) Curiosity Robot Artificial intelligence Psychology business media_common
Zdroj:	Intelligent Autonomous Systems 13 ISBN: 9783319083377 IAS
DOI:	10.1007/978-3-319-08338-4_97
Popis:	Humans can acquire new knowledge by themselves, and robots are also expected to have such ability by introducing curiosity. In previous researches, curiosity is expressed as just a judging system that decides whether the robot continues looking over a specific environment. In this paper we define curiosity as a direction in the multidimensional sensory space, and propose an action selection method based on the curiosity vector. The system estimates the relation between action and resulting sensory changes using the stored observed data. It selects an action so as to obtain the desired sensory information, based on the curiosity vector. This paper also describes experiments in which a wheeled mobile robot moves toward an unknown area and a humanoid discovers actions to obtain unexperienced sensory information.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::da4a0b62e1916f5d7c19ab70c7539b41 https://doi.org/10.1007/978-3-319-08338-4_97 Zobrazit plný text záznamu