Recent advancements in multimodal human-robot interaction

doi:10.3389/fnbot.2023.1084000

	Recent advancements in multimodal human-robot interaction
	Su, Hang 1; Qi, Wen 2; Chen, Jiahao3 ; Yang, Chenguang 4; Sandoval, Juan 5; Laribi, Med Amine 5
发表期刊	FRONTIERS IN NEUROROBOTICS
ISSN	1662-5218
	2023-05-11
卷号	17 页码:21
通讯作者	Qi, Wen(wenqi@scut.edu.cn)
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.
关键词	multi-modal signal processing multi-modal feedback multi-modal human-robot interaction physical human-robot interaction human-robot interaction
DOI	10.3389/fnbot.2023.1084000
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Robotics ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Robotics ; Neurosciences
WOS记录号	WOS:000994417300001
出版者	FRONTIERS MEDIA SA
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53357
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.Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy 2.South China Univ Technol, Sch Future Technol, Guangzhou, Peoples R China 3.Chinese Acad Sci, Inst Automation, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 4.Univ West England, Bristol Robot Lab, Bristol, England 5.Univ Poitiers, Pprime Inst, Dept GMSC, CNRS,ENSMA, Poitiers, France
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.