Higher demands for adaptable, scalable and automated human resources, capabilities and services, such as human well-being, safety and security, universal health care system and educational institutions, are growing in our societies, leading the way to the creation of a new artificially-intelligent support system that can facilitate the lives of the many. The current invention aims to help resolve such issues by offering a relief system that uses a new robotic specie, called Human-Robots (HRs) and that are intended to improve the quality of our lives in terms of education, health-care, well-being, safety and security. The new specie may autonomously work and move in close proximities with and among HBs and within their natural environments, to share their workloads and tasks and is especially tuned to their well-beings and of their surroundings. The robotic specie is reliant on a standard reconfigurable system and platform that can take multiple shapes, be modular, incremental, scalable, mobile, intelligent, connected, social, and possibly fully-autonomous. The new HR society will form the new race of autonomous personal and public service providers and take part in our society as a new specie.

An interaction system that provides an interaction interface comprising: a computer and a device that obtains information, wherein the computer stores information for managing data in which a type of a second feature value is associated with a listening pattern that defines a tendency of a response action performed by the interaction interface on a user; calculates a first feature value that is an index for evaluating a change in state during speech by the user on the basis of information obtained by the device; calculates second feature values on the basis of the first feature value; selects a target second feature value from among the second feature values; selects the listening pattern corresponding to the target second feature value; and generates output information for controlling the interaction interface on the basis of the selected listening pattern.

Systems, devices, and methods for providing user feedback are disclosed. The device can include a housing having a hollow inner core extending from an outer opening to an inner end. The device can include a plurality of sensors disposed along an interior surface of the housing within the hollow inner core, operable to sense position of an object within the housing or pressure applied to an interior surface of the hollow inner core. The sensors can further sense depth of the object inserted into the hollow inner core. The device can have a controller communicatively coupled to the plurality of sensors and operable to receive sensor indications based on the position of the object within the housing provide various outputs based on the depth, position, pressure, etc. of the object within the hollow inner core.

A robot apparatus and a method for expressing emotions thereof, the method including determining motor movement information to drive a motor according to the emotional state to be expressed by the electronic device, determining the display position of the image object on the display according to the movement information of the motor, controlling an operation to drive the at least one motor according to the movement information of the motor, and changing the position of the image object displayed on the display in response to the movement of the electronic device driven by the at least one motor based on the determined display position information.

A feeling deduction unit 100 deduces a user's feeling. An internal state management unit 110 manages an internal state of an object and an internal state of a user on the basis of the deduced user's feeling. An action management unit 120 determines an action of the object on the basis of the internal state of the object. An output processing unit 140 causes the object to perform the action determined by the action management unit 120.

A companion robot is disclosed. In some embodiments, the companion robot may include a head having a facemask and a projector configured to project facial images onto the facemask; a facial camera; a microphone configured to receive audio signals from the environment; a speaker configured to output audio signals; and a processor electrically coupled with the projector, the facial camera, the microphone, and the speaker. In some embodiments, the processor may be configured to receive facial images from the facial camera; receive speech input from the microphone; determine an audio output based on the facial images and/or the speech input; determine a facial projection output based the facial images and/or the speech input; output the audio output via the speaker; and project the facial projection output on the facemask via the projector.

An emotion recognizer includes: an uni-modal preprocessor configured to include a plurality of recognizers for each modal learned to recognize emotion information of a user contained in uni-modal input data; and a multi-modal recognizer configured to merge output data of the plurality of recognizers for each modal, and be learned to recognize the emotion information of the user contained in the merged data. The emotion recognizer may output a complex emotion recognition result including an emotion recognition result of each of the plurality of recognizers for each modal and an emotion recognition result of the multi-modal recognizer.

A method for robot interaction, preferably including: receiving a user input, determining a robot-associated response based on the user input, and presenting the robot-associated response. A system, preferably including: a robot, a conversation client, and a response module.

Aspects of the present disclosure generally relate to robot memory management techniques. In certain aspects, a robot generates a disposition representing a time slice of the robot's understanding of the world. The robot repeatedly generates new dispositions as time progresses, thereby updating entries within the disposition as changes occur over time. Changes are evaluated based on various thresholds or other criteria to determine whether to memorialize them for later reference. Memorialized changes are used to supplement a disposition, such that the disposition comprises not only current information, but also historical information. Similarly, a disposition is supplemented based on an ontology, such that objects and relationships of the ontology are used to identify instances of such objects and relationships within the disposition. As a result, the robot is able to recall historical information and to use ontological knowledge of the world to generate a richer view of the world.

A control method of an interaction robot according to an embodiment of the present invention comprises the steps of: receiving a user input, by the interaction robot; determining a robot response corresponding to the received user input, by the interaction robot; and outputting the determined robot response, by the interaction robot, wherein the step of outputting the determined robot response includes the steps of: outputting a color matching to the received user input or the determined robot response to a light emitting unit, by the interaction robot; and outputting a motion matching to the received user input or the determined robot response to any one or more among a first driving unit and a second driving unit, by the interaction robot.