Methods of robot behavior generation and robots utilizing the same

A method of generating a behavior of a robot comprising:

• defining a plurality of user character classes, wherein the plurality of user character classes are stored in a database and each user character class is associated with a personality type;
• measuring input data associated with a user response of a user to an introduction scenario performed by the robot;
• applying a de-dimensional algorithm to the input data of the user response to generate a user character vector;
• classifying an individual user into a selected one of the plurality of user character classes based at least in part on the user character vector and input data associated with the individual user;
• selecting a robot behavior based on the selected user character class;
• selecting a user interaction scenario based at least in part on the selected robot behavior, wherein the interaction scenario instructs the robot to discuss particular conversation topics and perform particular movements associated with the selected user character class;
• controlling actions of the robot in accordance with the selected robot behavior and the user interaction scenario during one or more user-robot interaction sessions;
• measuring input data associated with a user response to the one or more user-robot interaction sessions;
• and
• updating the user character vector, the selected user character class, the selected robot behavior, and the user interaction scenario after each user-robot interaction session based on the input data measured during the user-robot interaction sessions.

A robot comprising:

• an audio output for producing sounds corresponding with human speech such that the robot is capable of speaking to a user of the robot;
• an audio input for receiving speech of the user as the user interacts with the robot;
• a video input for detecting movements of the user as the user interacts with the robot;
• a processor for controlling actions of the robot;
• one or more computer-readable memory devices comprising a database and a set of executable instructions capable of being read and executed by the processor, the executable instructions comprising:
• a user character estimator module programmed to:
• receive input data from the audio input and the video input, wherein the input data corresponds with the speech and movements of the user during an introduction scenario performed by the robot;
• apply a de-dimensional algorithm to the input data of the user response to generate a user character vector;
• classify the user into a selected one of a plurality of predefined user character classes based at least in part on the user character vector and input data associated with the user, wherein each user character class is associated with a personality type;
• and
• store the user character vector in the database;
• a robot behavior generator module programmed to determine a robot behavior associated with the selected user character class;
• and
• an interaction performer module programmed to select a user interaction scenario based at least in part on the selected robot behavior, wherein the processor executes the set of executable instructions to control the robot to discuss particular conversation topics via the audio output and perform particular movements associated with the selected robot behavior, the selected user interaction scenario, and the selected user character class.