A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot
文献类型：期刊论文
| 作者 | Huan-Zhao Chen; Guo-Hui Tian; Guo-Liang Liu |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2018 |
| 卷号 | 15期号:5页码:559-569 |
| 关键词 | Service robot cognition computing selective attention semantic knowledge base artificial neural network. |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-018-1139-6 |
| 英文摘要 | With the development of artificial intelligence and robotics, the study on service robot has made a significant progress in recent years. Service robot is required to perceive users and environment in unstructured domestic environment. Based on the perception, service robot should be capable of understanding the situation and discover service task. So robot can assist humans for home service or health care more accurately and with initiative. Human can focus on the salient things from the mass observation information. Humans are capable of utilizing semantic knowledge to make some plans based on their understanding of the environment. Through intelligent space platform, we are trying to apply this process to service robot. A selective attention guided initiatively semantic cognition algorithm in intelligent space is proposed in this paper. It is specifically designed to provide robots with the cognition needed for performing service tasks. At first, an attention selection model is built based on saliency computing and key area. The area which is highly relevant to service task could be located and referred as focus of attention (FOA). Second, a recognition algorithm for FOA is proposed based on a neural network. Some common objects and user behavior are recognized in this step. At last, a unified semantic knowledge base and corresponding reasoning engine is proposed using recognition result. Related experiments in a real life scenario demonstrated that our approach is able to mimic the recognition process in humans, make robots understand the environment and discover service task based on its own cognition. In this way, service robots can act smarter and achieve better service efficiency in their daily work. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42433]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | School of Control Science and Engineering, University of Shandong, Jinan 250061, China |
| 推荐引用方式 GB/T 7714 | Huan-Zhao Chen,Guo-Hui Tian,Guo-Liang Liu. A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot[J]. International Journal of Automation and Computing,2018,15(5):559-569. |
| APA | Huan-Zhao Chen,Guo-Hui Tian,&Guo-Liang Liu.(2018).A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot.International Journal of Automation and Computing,15(5),559-569. |
| MLA | Huan-Zhao Chen,et al."A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot".International Journal of Automation and Computing 15.5(2018):559-569. |
入库方式： OAI收割
来源：自动化研究所
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