33 results about "Social robot" patented technology

The present invention provides an interaction device adapted for setting own controller for maximizing expectation of information defined between a hypothesis about an interaction object and own input / output. Thus, the social robot can judge by using only simple input / output sensor whether or not the human being is present or absent at the outside world.

A computerized system comprising a social robot for interacting with a patient in order to improve the patient's adherence to a health or medical regime. A patient is instructed to perform a health activity (e.g., take medication, step on scale, measure glucose, play a game) at certain intervals in order to reach a specified goal or expected result. The results of the health activity are recorded in a wireless health device and transmitted to a computer. The computer interprets the result of health activity and communicates an action to the robot. If the patient performs the activity within a specified interval and results are consistent with the specified goal or expected result, the robot communicates relief or pleasure. If the patient does not perform the activity within a specified interval, or if the results are not consistent with the specified goal or expected result, the robot communicates anxiety, disappointment or exhibits symptoms of an effect such as hunger or illness.

The invention belongs to the technical field of computers, and specifically provides a method and system for detecting social robots that integrate user behavior and text information. Aiming at solving the problems of manually selecting features, ignoring the logic and timing between social media posts and ignoring social platform user behavior information in the prior art, the detection method of the social robot of the present invention includes obtaining the historical network of social media users to be detected Data and friend network data; based on the above data, user text feature vectors, behavior feature vectors and friend network feature vectors are obtained, and they are fused to obtain user feature vectors of social media users to be detected; user feature vectors are detected and detection results are output . The method of the present invention is more in line with the characteristics of social media itself, analyzes the social media users to be detected from multiple dimensions, and improves the detection accuracy. The system of the present invention also has the above beneficial effects.

The invention discloses a microblog social robot detection method based on a deep neural network. The method includes constructing a manually marked data set, extracting classification features of user data, and constructing a residual neural network, a bidirectional gated recurrent unit and an attention mechanism. A deep neural network model for Sina Weibo social robot detection. The present invention obtains user data of Sina Weibo through a web crawler, analyzes the behavior of users and robots, and extracts classification features of user data from four different angles, using these features to realize more comprehensive and accurate detection of social robots and the present invention combines the residual neural network, the bidirectional gated recurrent unit and the attention mechanism to build a deep neural network model, which can significantly improve the accuracy and stability of the detection model.

A social robot detection method based on variational auto-encoding and K-nearest neighbor combination belongs to the technical field of abnormality detection. The present invention obtains public data of social robots through a network, extracts features through preprocessing, uses data for training, and then uses variational After encoding and decoding, the normal sample features are more similar to the initial features after decoding, while the abnormal samples are very different from the initial features. This method considers that in the large social network environment, the number of abnormal user groups is smaller than that of normal user groups, so in the process of data collection, the collection of abnormal users is relatively troublesome. The method proposed by the invention solves the shortcomings of high-cost labeling and unbalanced positive and negative samples in the existing social robot detection methods, and realizes efficient detection of social network machine users by reducing abnormal samples to participate in model training.

The invention belongs to the field of human-machine interaction intelligence, and relates to a social robot which is used for detecting indoor personnel in real time, recording the form of current personnel by photographing, and sharing the form to a social network. The social robot comprises a chassis, wherein the chassis is provided with a power device; the top of the chassis is provided with a supporting device; the supporting device is provided with a user terminal; the power device can drive the chassis to move under the control of the user terminal; the upper end of the supporting device is provided with a binocular vision camera; the binocular vision camera is hinged to the upper end of the supporting device; the binocular vision camera can rotate to different angles relative to the supporting device; the binocular vision camera acquires depth path information of the front environment; the binocular vision camera photographs a human face under the control of the user terminal, and transmits pictures to the user terminal; the user terminal stores pictures photographed by the vision camera, and shares the pictures to the social network. The social robot has the advantages of low constructing price and cost, high flexibility, simplicity in operation, and diversity and sufficiency in human-machine interaction.

The invention belongs to the technical field of robots and provides a learning type intelligent home social contact robot system and method. The learning type intelligent home social contact robot system comprises a man-machine interface module, a main controller, an environment monitoring module, a robot positioning module, a motor driving module, a vision module, a voice module, a data storage module, a wireless data transmitting module, a power management module and a touch type game platform, wherein all the modules except the main controller are connected with the main controller. The learning type intelligent home social contact robot system is characterized in that the voice module further comprises a voice input module, a specific person learning type voice recognition module, a specific person learning type semantic parsing module, a specific person learning type response statement generating module and a specific person learning type voice synthesis module, and the touch type game platform further comprises a specific person learning type card showing module. By means of the learning type intelligent home social contact robot system and method, recognition of the voice of all family members is achieved, and the learning type intelligent home social contact robot system and method have the advantages that the voice with the pitch consistent with that of imitated persons is given out through learning, and therefore chatting, card playing and interaction with people are achieved.