Interaction between Humans, NAO Robot and Multiple Cameras for Colored Objects Recognition using Information Fusion

被引：0

作者：

Nguyen, T. L. ^{[1
]}

Boukezzoula, R. ^{[1
]}

Coquin, D. ^{[1
]}

Benoit, E. ^{[1
]}

Perrin, S. ^{[1
]}

机构：

[1] Univ Savoie Mt Blanc, LISTIC Lab, Polytech, F-74940 Annecy Le Vieux, France

来源：

2015 8TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI) | 2015年

关键词：

humans systems interaction; human understanding systems; color recognition; fuzzy logic; evidence theory; robotics; SYSTEMS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Nowadays, the interaction between humans and systems is much better, which allows humans to be able to accomplish a huge range of tasks. Focusing on intelligent communication and human understanding of systems, in this work we develop an application, which allows a humanoid robot to receive oral commands from humans to find a desired colored object. Fuzzy logic is used for color recognition following human perception and reasoning, and Evidence theory is employed to fuse information from multiple cameras in order to improve recognition quality. Experimentation results show that the combination of these methods help the robot to recognize linguistic colors efficiently.

引用

页码：322 / 328

页数：7