A data processing method for a care-giving robot and an apparatus comprises receiving data from a target object comprising a capability parameter of the target object, generating a growing model capability parameter matrix of the target object that includes the capability parameter, a capability parameter adjustment value, and a comprehensive capability parameter that is calculated based on the capability parameter; adjusting the capability parameter adjustment value in the growing model capability parameter matrix, to determine an adjusted capability parameter adjustment value; determining whether the adjusted capability parameter adjustment value exceeds a preset threshold; and sending the adjusted capability parameter adjustment value to a machine learning engine when the adjusted capability parameter adjustment value is within a range of the preset threshold.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing goal-based robot animation. One system includes a robot configured to receive a goal that specifies a goal state to be attained by the robot or one of the components. A collection of animation tracks is searched to identify one or more animation tracks that when executed by the robot cause the robot to perform one or more physical movements to satisfy the goal state. The identified one or more animation tracks are executed to perform the one or more physical movements to satisfy the received goal state.

Systems and methods for Emotional-Imaging Composer are disclosed. The method may include recording a real-time biosignal from a plurality of biosignal sensors. The method may further include determining an emotion that is associated with the real-time biosignal. The method may further include outputting a display feature corresponding to the emotion, wherein the display feature is a lighting effect on a graphical user interface.

Systems and methods for Emotional-Imaging Composer are disclosed. The method may include recording a real-time biosignal from a plurality of biosignal sensors. The method may further include determining an emotion that is associated with the real-time biosignal. The method may further include outputting a display feature corresponding to the emotion, wherein the display feature is a lighting effect on a graphical user interface.

There is provided an information processing device including: a control unit configured to acquire emotion information obtained from biological information of a user and output control information related to an operation of an operation unit corresponding to the biological information of the user according to behavior information associated with the emotion information. In addition, there is provided an information processing method including, by a processor: acquiring emotion information obtained from biological information of a user and outputting control information related to an operation of an operation unit corresponding to the biological information of the user according to behavior information associated with the emotion information. This makes it possible to collect data related to emotions of a user more efficiently and realize more highly precise emotion estimation.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing goal-based robot animation. One system includes a robot configured to receive a goal that specifies a goal state to be attained by the robot or one of the components. A collection of animation tracks is searched to identify one or more animation tracks that when executed by the robot cause the robot to perform one or more physical movements to satisfy the goal state. The identified one or more animation tracks are executed to perform the one or more physical movements to satisfy the received goal state.

A data processing method for a care-giving robot and an apparatus comprises receiving data from a target object comprising a capability parameter of the target object, generating a growing model capability parameter matrix of the target object that includes the capability parameter, a capability parameter adjustment value, and a comprehensive capability parameter that is calculated based on the capability parameter; adjusting the capability parameter adjustment value in the growing model capability parameter matrix, to determine an adjusted capability parameter adjustment value; determining whether the adjusted capability parameter adjustment value exceeds a preset threshold; and sending the adjusted capability parameter adjustment value to a machine learning engine when the adjusted capability parameter adjustment value is within a range of the preset threshold.

A control unit is configured to monitor knowledge data in which element information relating to an operation environment of a robot is integrated and, when the element information of a predetermined item changes, identify a salient feature relating to the element information of the item, and operate the robot on the basis of an operation plan relating to a salient feature identified from related data representing at least a relevance between the salient feature and the operation plan of the robot.