Data processing method for care-giving robot and apparatus

A model engine, comprising:

• a memory comprising instructions;
• and
• a processor coupled to the memory and configured to execute the instructions, wherein the instructions cause the processor to:
• receive data of a target object, wherein the data comprises a capability parameter of the target object, wherein the capability parameter comprises a measured capability parameter and a statistical capability parameter that correspond to the target object;
• and
• generate a growing model capability parameter matrix of the target object, wherein the growing model capability parameter matrix of the target object comprises the capability parameter, a capability parameter adjustment value and a comprehensive capability parameter that are each based on the capability parameter;
• adjust the capability parameter adjustment value in the growing model capability parameter matrix to determine an adjusted capability parameter adjustment value, wherein the comprehensive capability parameter and the capability parameter adjustment value are based on a formula that uses the capability parameter;
• determine whether the adjusted capability parameter adjustment value exceeds a preset threshold;
• and
• send 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, wherein the capability parameter adjustment value enables the machine learning engine to provide to an artificial intelligence apparatus a capability parameter based on the capability parameter adjustment value, wherein the capability parameter is required for interacting with the target object.

A non-transitory computer readable storage medium comprising instructions that when executed by an apparatus comprising a processor, cause the apparatus to:

• receive data of a target object from a communications interface, wherein the data comprises a capability parameter of the target object, wherein the capability parameter comprises a measured capability parameter and a statistical capability parameter that corresponds to the target object;
• generate a growing model capability parameter matrix of the target object, wherein the growing model capability parameter matrix of the target object comprises the capability parameter, a capability parameter adjustment value and a comprehensive capability parameter that are calculated based on the capability parameter;
• adjust the capability parameter adjustment value in the growing model capability parameter matrix, to determine an adjusted capability parameter adjustment value, wherein a formula is used to calculate the comprehensive capability parameter and the capability parameter adjustment value based on the capability parameter;
• determine whether the adjusted capability parameter adjustment value exceeds a preset threshold;
• and
• send 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 so as to enable the machine learning engine to provide to an artificial intelligence apparatus a capability parameter based on the capability parameter adjustment value, wherein the capability parameter is required to interact with the target object.