Recent advancements in multimodal human-robot interaction

doi:10.3389/fnbot.2023.1084000

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Recent advancements in multimodal human-robot interaction
	Su, Hang 4; Qi, Wen 2; Chen, Jiahao 3; Yang, Chenguang 5; Sandoval, Juan 1; Laribi, Med Amine 1
刊名	FRONTIERS IN NEUROROBOTICS
	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
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000994417300001
内容类型	期刊论文
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.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.Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy 5.Univ West England, Bristol Robot Lab, Bristol, England
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.