Importance of Effective Teaching in Robot Motor Skill Learning

被引：0

作者：

Cloud, Joe ^{[1
]}

Theofanidis, Michail ^{[1
]}

Brady, James ^{[1
]}

Makedon, Fillia ^{[1
]}

机构：

[1] Univ Texas Arlington, Comp Sci & Engn, Arlington, TX 76019 USA

来源：

12TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2019) | 2019年

基金：

美国国家科学基金会;

关键词：

human-robot interaction; kinesthetic teaching; machine learning; dynamic movement primitives; learning from demonstration; PRIMITIVES; IMITATION;

D O I：

10.1145/3316782.3322775

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is generally accepted in the field of human-robot interaction (HRI) that the role of a human teacher is critical for robot environmental adaptation. As such, the ability of a robot to adapt in a novel environment is based on the capabilities of the human teacher. In this paper, we propose a metric for robots to evaluate the quality of a human teacher. We illustrate a scenario where the Sawyer Robotic Arm must learn to grasp a cup according to the demonstration of a good and a bad human teacher.

引用

页码：489 / 492

页数：4

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