A monitor is installed in an eye of a robot, and an eye image is displayed on the monitor. The robot extracts a feature quantity of an eye of a user from a filmed image of the user. The feature quantity of the eye of the user is reflected in the eye image. For example, a feature quantity is a size of a pupillary region and a pupil image, and a form of an eyelid image. Also, a blinking frequency or the like may also be reflected as a feature quantity. Familiarity with respect to each user is set, and which user's feature quantity is to be reflected may be determined in accordance with the familiarity.

A monitor is installed in an eye of a robot, and an eye image is displayed on the monitor. The robot extracts a feature quantity of an eye of a user from a filmed image of the user. The feature quantity of the eye of the user is reflected in the eye image. For example, a feature quantity is a size of a pupillary region and a pupil image, and a form of an eyelid image. Also, a blinking frequency or the like may also be reflected as a feature quantity. Familiarity with respect to each user is set, and which user's feature quantity is to be reflected may be determined in accordance with the familiarity.

This disclosure provides a route determining device capable of determining a route of a moving device such that the moving device smoothly moves to a destination while avoiding an interference with a traffic participant even in a congested traffic environment. A route determining device 1 determines a provisional movement velocity command v_cnn such that an interference between a robot 2 and traffic participants is avoided using the CNN, determines a distance dist between the robot 2 and the traffic participant closest to the robot 2 when the robot is assumed to move from the current position by a command v_cnn in accordance with the reliability P of the command v_cnn, and determines a movement velocity command v of the robot using a DWA such that a target function G including the distance dist and the movement velocity command v of the robot as independent variables has a maximum value.

A method for training parameters of a student model includes receiving one or more teacher models trained using sensitive data. Each teacher model includes one or more intermediate layers and a prediction layer coupled to the one or more intermediate layers. The method includes receiving, from the one or more teacher models, one or more intermediate layer outputs and one or more prediction layer outputs respectively based on public data. Student model training is performed to train parameters of the student model based on the intermediate layer outputs and prediction layer outputs of the one or more teacher models.

A method for training parameters of a student model includes receiving one or more teacher models trained using sensitive data. Each teacher model includes one or more intermediate layers and a prediction layer coupled to the one or more intermediate layers. The method includes receiving, from the one or more teacher models, one or more intermediate layer outputs and one or more prediction layer outputs respectively based on public data. Student model training is performed to train parameters of the student model based on the intermediate layer outputs and prediction layer outputs of the one or more teacher models.

[Object] To provide an information processing apparatus, an information processing method, and a program that are capable of presenting a learning status of object recognition learning to the user in an understandable manner.

[Solving Means] An information processing apparatus includes a learning unit, an assessment unit, and a signal generation unit. The learning unit performs recognition learning of an object in an image captured by a camera. The assessment unit assesses a progress status of the recognition learning of a target region of the object. The signal generation unit generates a presentation signal for presenting the target region and the progress status to a user.

A system for generating intelligent software learning agents with heuristics management is disclosed. Expertise capture processes eliminate the need for programmers through the use of machine learning mechanisms that adjusts to changes over time, stays current with business rules as the learning is continuous, and allows users to process work as they always have with no interruptions or additional training required.

A system for generating intelligent software learning agents with heuristics management is disclosed. Expertise capture processes eliminate the need for programmers through the use of machine learning mechanisms that adjusts to changes over time, stays current with business rules as the learning is continuous, and allows users to process work as they always have with no interruptions or additional training required.

A method and apparatus for controlling a social robot includes providing a set of quantitative personality trait values, also called a “personality profile” to a decision engine of the social robot. The personality profile is derived from a character portrayal in a fictional work, dramatic performance, or by a real-life person (any one of these sometime referred to herein as a “source character”). The decision engine controls social responses of the social robot to environmental stimuli, based in part on the set of personality trait values. The social robot thereby behaves in a manner consistent with the personality profile for the profiled source character.

A method and apparatus for controlling a social robot includes providing a set of quantitative personality trait values, also called a “personality profile” to a decision engine of the social robot. The personality profile is derived from a character portrayal in a fictional work, dramatic performance, or by a real-life person (any one of these sometime referred to herein as a “source character”). The decision engine controls social responses of the social robot to environmental stimuli, based in part on the set of personality trait values. The social robot thereby behaves in a manner consistent with the personality profile for the profiled source character.