Semantic-Aware Environment Perception for Mobile Human-Robot Interaction

被引：1

作者：

Hempel, Thorsten ^{[1
]}

Fiedler, Marc-Andre ^{[1
]}

Khalifa, Aly ^{[1
]}

Al-Hamadi, Ayoub ^{[1
]}

Dinges, Laslo ^{[1
]}

机构：

[1] Otto von Guericke Univ, Neuroinformat Technol, Magdeburg, Germany

来源：

PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2021) | 2021年

关键词：

human-robot interaction; semantic objects; interaction willingness; RECOGNITION;

D O I：

10.1109/ISPA52656.2021.9552148

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Current technological advances open up new opportunities for bringing human-machine interaction to a new level of human-centered cooperation. In this context, a key issue is the semantic understanding of the environment in order to enable mobile robots more complex interactions and a facilitated communication with humans. Prerequisites are the vision-based registration of semantic objects and humans where the latter are further analyzed for potential interaction partners. Despite significant research achievements, the reliable and fast registration of semantic information still remains a challenging tasks for mobile robots in real-world scenarios. In this paper, we present a vision-based system for mobile assistive robots to enable a semantic-aware environment perception without additional a-priori knowledge. We deploy our system on a mobile humanoid robot that enables us to test our methods in real-world applications.

引用

页码：200 / 203

页数：4

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