Vision-based robot learning towards RoboCup: Osaka University 'Trackies'

Autor:	Yasutake Takahashi, Masateru Nakamura, Eiji Uchibe, Sho'ji Suzuki, Tatsunori Kato, Chizuko Mishima, Hiroshi Ishizuka, Minoru Asada
Rok vydání:	1998
Předmět:	Social robot Vision based business.industry Computer science Reinforcement learning Robot Mobile robot Artificial intelligence business ComputingMethodologies_ARTIFICIALINTELLIGENCE Robot learning Task (project management)
Zdroj:	RoboCup-97: Robot Soccer World Cup I ISBN: 9783540644736 RoboCup
DOI:	10.1007/3-540-64473-3_69
Popis:	The authors have applied reinforcement learning methods to real robot tasks in several aspects. We selected a skill of soccer as a task for a vision-based mobile robot. In this paper, we explain two of our method; (1)learning a shooting behavior, and (2)learning a shooting with avoiding an opponent. These behaviors were obtained by a robot in simulation and tested in a real environment in RoboCup-97. We discuss current limitations and future work along with the results of RoboCup-97.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::82fd74ae6b8f182a922f4cd3f901b787 https://doi.org/10.1007/3-540-64473-3_69 Zobrazit plný text záznamu