Recent advancements in multimodal human-robot interaction
文献类型：期刊论文
| 作者 | Su, Hang3; Qi, Wen4; Chen, Jiahao5 ; Yang, Chenguang2; Sandoval, Juan1; Laribi, Med Amine1
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| 刊名 | FRONTIERS IN NEUROROBOTICS
 |
| 出版日期 | 2023-05-11 |
| 卷号 | 17页码:21 |
| 关键词 | multi-modal signal processing multi-modal feedback multi-modal human-robot interaction physical human-robot interaction human-robot interaction |
| ISSN号 | 1662-5218 |
| DOI | 10.3389/fnbot.2023.1084000 |
| 通讯作者 | Qi, Wen(wenqi@scut.edu.cn) |
| 英文摘要 | Robotics have advanced significantly over the years, and human-robot interaction (HRI) is now playing an important role in delivering the best user experience, cutting down on laborious tasks, and raising public acceptance of robots. New HRI approaches are necessary to promote the evolution of robots, with a more natural and flexible interaction manner clearly the most crucial. As a newly emerging approach to HRI, multimodal HRI is a method for individuals to communicate with a robot using various modalities, including voice, image, text, eye movement, and touch, as well as bio-signals like EEG and ECG. It is a broad field closely related to cognitive science, ergonomics, multimedia technology, and virtual reality, with numerous applications springing up each year. However, little research has been done to summarize the current development and future trend of HRI. To this end, this paper systematically reviews the state of the art of multimodal HRI on its applications by summing up the latest research articles relevant to this field. Moreover, the research development in terms of the input signal and the output signal is also covered in this manuscript. |
| WOS研究方向 | Computer Science ; Robotics ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000994417300001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53356]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Qi, Wen |
| 作者单位 | 1.Univ Poitiers, Pprime Inst, Dept GMSC, CNRS,ENSMA, Poitiers, France 2.Univ West England, Bristol Robot Lab, Bristol, England 3.Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy 4.South China Univ Technol, Sch Future Technol, Guangzhou, Peoples R China 5.Chinese Acad Sci, Inst Automation, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Hang,Qi, Wen,Chen, Jiahao,et al. Recent advancements in multimodal human-robot interaction[J]. FRONTIERS IN NEUROROBOTICS,2023,17:21. |
| APA | Su, Hang,Qi, Wen,Chen, Jiahao,Yang, Chenguang,Sandoval, Juan,&Laribi, Med Amine.(2023).Recent advancements in multimodal human-robot interaction.FRONTIERS IN NEUROROBOTICS,17,21. |
| MLA | Su, Hang,et al."Recent advancements in multimodal human-robot interaction".FRONTIERS IN NEUROROBOTICS 17(2023):21. |
入库方式： OAI收割
来源：自动化研究所
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