On Cognitive Assistant Robots for Reducing Variability in Industrial Human-Robot Activities

被引：8

作者：

Chacon, Alejandro ^{[1
,2
]}

Ponsa, Pere ^{[2
]}

Angulo, Cecilio ^{[2
]}

机构：

[1] Univ Fuerzas Armadas ESPE, Dept Elect & Elect, Quito 171103, Ecuador

[2] Univ Politecn Cataluna, Dept Automat Control, Barcelona 08034, Spain

来源：

APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 15期

基金：

欧盟地平线“2020”;

关键词：

cognitive robots; human-robot interaction; assistant robotics; variability; CLASSIFICATION;

D O I：

10.3390/app10155137

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

In the industrial domain, one important research activity for cognitive robotics is the development of assistant robots. In this work, we show how the use of a cognitive assistant robot can contribute to (i) improving task effectiveness and productivity, (ii) providing autonomy for the human supervisor to make decisions, providing or improving human operators' skills, and (iii) giving feedback to the human operator in the loop. Our approach is evaluated on variability reduction in a manual assembly system. The overall study and analysis are performed on a model of the assembly system obtained using the Functional Resonance Analysis Method (FRAM) and tested in a robotic simulated scenario. Results show that a cognitive assistant robot is a useful partner in the role of improving the task effectiveness of human operators and supervisors.

引用

页数：23

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