A human-computer interaction method and device for intelligent robots

Abstract

A human-computer interaction method for intelligent robots, comprising: step 1, obtaining multimodal interaction information input by a user; step 2, performing memory analysis on the multimodal interaction information, and calling Different interaction models are used to generate corresponding multimodal feedback information and output. Compared with the existing human-computer interaction methods, this method can effectively identify the user attribute information contained in the multi-modal interaction information input by the user during the human-computer interaction process, and at the same time, it can also be used in the output feedback information. The above user attribute information is reflected in the above information, which makes the human-computer interaction process more in line with human interaction habits and improves the human-computer interaction experience.

Description

technical field [0001] The present invention relates to the technical field of robots, in particular to a human-computer interaction method and device for intelligent robots, and also provides a human-computer interaction system for intelligent robots and special intelligent equipment for children. Background technique [0002] With the progress of society, robots are not only widely used in industry, medicine, agriculture or military, but also slowly integrate into human social life in life. Common social robots are applied to event sites or families, especially at event sites, where the interaction of robots can often attract the attention and interest of the masses. [0003] However, users often disclose their own relevant information in the process of interacting with intelligent robots, but existing intelligent robots cannot parse and extract key entity information related to users, which makes the human-computer interaction process unable to satisfy user's individual ...

AI Technical Summary

Problems solved by technology

[0003] However, users often disclose their own relevant information in the process of interacting with intelligent robots, but existing intelligent robots cannot parse and extract key entity information related to users, which makes the human-computer interaction process unable to satisfy User's individual needs

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