A brain-inspired intention prediction model and its applications to humanoid robot

doi:10.3389/fnins.2022.1009237

CORC > 自动化研究所 > 中国科学院自动化研究所 > 类脑智能研究中心 > 类脑认知计算

	A brain-inspired intention prediction model and its applications to humanoid robot
	Zhao, Yuxuan 4; Zeng, Yi 1,2,3,4
刊名	FRONTIERS IN NEUROSCIENCE
	2022-10-21
卷号	16 页码:11
关键词	human-robot interaction intention prediction brain-inspired model spiking neural networks humanoid robot
DOI	10.3389/fnins.2022.1009237
通讯作者	Zeng, Yi(yi.zeng@ia.ac.cn)
英文摘要	With the development of artificial intelligence and robotic technology in recent years, robots are gradually integrated into human daily life. Most of the human-robot interaction technologies currently applied to home service robots are programmed by the manufacturer first, and then instruct the user to trigger the implementation through voice commands or gesture commands. Although these methods are simple and effective, they lack some flexibility, especially when the programming program is contrary to user habits, which will lead to a significant decline in user experience satisfaction. To make that robots can better serve human beings, adaptable, simple, and flexible human-robot interaction technology is essential. Based on the neural mechanism of reinforcement learning, we propose a brain-inspired intention prediction model to enable the robot to perform actions according to the user's intention. With the spike-timing-dependent plasticity (STDP) mechanisms and the simple feedback of right or wrong, the humanoid robot NAO could successfully predict the user's intentions in Human Intention Prediction Experiment and Trajectory Tracking Experiment. Compared with the traditional Q-learning method, the training times required by the proposed model are reduced by (N-2 - N)/4, where N is the number of intentions.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences ; new generation of artificial intelligence major project of the Ministry of Science and Technology of the People's Republic of China ; Beijing Municipal Commission of Science and Technology ; Key Research Program of Frontier Sciences, CAS ; [XDB32070100] ; [2020AAA0104305] ; [Z181100001518006] ; [ZDBS-LY-JSC013]
WOS关键词	ORBITOFRONTAL CORTEX ; REPRESENTATIONS ; WORKING ; REWARD
WOS研究方向	Neurosciences & Neurology
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000879221000001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; new generation of artificial intelligence major project of the Ministry of Science and Technology of the People's Republic of China ; Beijing Municipal Commission of Science and Technology ; Key Research Program of Frontier Sciences, CAS
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50717]
专题	类脑智能研究中心_类脑认知计算
通讯作者	Zeng, Yi
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Automat, Res Ctr Brain inspired Intelligence, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yuxuan,Zeng, Yi. A brain-inspired intention prediction model and its applications to humanoid robot[J]. FRONTIERS IN NEUROSCIENCE,2022,16:11.
APA	Zhao, Yuxuan,&Zeng, Yi.(2022).A brain-inspired intention prediction model and its applications to humanoid robot.FRONTIERS IN NEUROSCIENCE,16,11.
MLA	Zhao, Yuxuan,et al."A brain-inspired intention prediction model and its applications to humanoid robot".FRONTIERS IN NEUROSCIENCE 16(2022):11.