Search Results for author: Eri Sato-Shimokawara

Found 3 papers, 0 papers with code

Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application

no code implementations11 May 2021 Chang-Shing Lee, Mei-Hui Wang, Zong-Han Ciou, Rin-Pin Chang, Chun-Hao Tsai, Shen-Chien Chen, Tzong-Xiang Huang, Eri Sato-Shimokawara, Toru Yamaguchi

Besides, the Robotic Assistant Agent (RAA) can assist students and machines in co-learning English and AI-FML practice based on the robot Kebbi Air and AIoT-FML learning tool.

A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction

no code implementations18 Jun 2020 Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan, Zong-Han Ciou, Yi-Lin Tsai, Wei-Shan Chang, Lian-Chao Li, Naoyuki Kubota, Tzong-Xiang Huang, Eri Sato-Shimokawara, Toru Yamaguchi

In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain.

A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go

no code implementations22 Jan 2019 Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi

This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go.

Game of Go

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