A Framework of Explanation Generation Toward Reliable Autonomous Robots
2021年10月1日·
·
0 min read
Takato Horii
Authors
Tatsuya Sakai, Kazuki Miyazawa, Takato Horii, Takayuki Nagai
Abstract
We propose a framework for explanation generation that aims to improve the reliability of autonomous robots. By presenting the decision-making process in a human-understandable form, the proposed approach helps to build trust between humans and robots.
Type
Publication
Advanced Robotics, 35(17), 1054-1067
Authors
Takato Horii
(he/him)
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University.
Research interests include cognitive developmental robotics, computational modeling
of emotional development, and human-robot interaction.