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公开(公告)号:US20190184573A1
公开(公告)日:2019-06-20
申请号:US16276576
申请日:2019-02-14
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Sixiao YANG , Heng LIAO , Maosheng HUANG , Jiansheng WEI , Dawei HUO , Wenhua SUN
CPC classification number: B25J11/001 , G06F3/01 , G06K9/00335 , G06N20/00
Abstract: The present invention provides a robot control method, and the method includes: collecting interaction information of a companion target, and obtaining digital person information of a companion person (101), where the interaction information includes interaction information of a sound or an action of the companion target toward the robot, and the digital person information includes a set of digitized information of the companion person; and determining, by using the interaction information and the digital person information, a manner of interacting with the companion target (103); generating, based on the digital person information of the companion person and by using a machine learning algorithm, an interaction content corresponding to the interaction manner (105); and generating a response action toward the companion target based on the interaction manner and the interaction content (107).
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公开(公告)号:US20190337157A1
公开(公告)日:2019-11-07
申请号:US16457676
申请日:2019-06-28
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Wenhua SUN , Jiali FU , Heng LIAO , Huimin ZHANG
Abstract: Embodiments of the present invention provide a human-machine interaction method, including: detecting and collecting, by a robot, sensing information of a companion object of a target object and emotion information of the target object that is obtained when the target object interacts with the companion object; extracting, by the robot, an emotion feature quantity based on the emotion information, determining, based on the emotion feature quantity, an emotional pattern used by the target object to interact with the companion object, determining, based on the emotional pattern, a degree of interest of the target object in the companion object, extracting behavioral data of the companion object from the sensing information based on the degree of interest, and screening the behavioral data to obtain simulated object data; and simulating, by the robot, the companion object based on the simulated object data.
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