A customer service robot may be selected, or configured, to address a particular work item. Robots may comprise different functionality due to absent software or hardware or due to existent but worn or non-compliant components. A particular work item may have several means of resolution. A particular resolution path is selected in accord with the ability of a robot. Should no path exist, the robot may be transformed by the addition or installation of hardware and/or software to provide the absent functionality. Resolution paths may also be weighted based on the level of success provided by prior resolution paths and/or the requirement for human involvement. Accordingly, a resolution path may be provided that balances robot capability with the likelihood of success and an appropriate level of human involvement.

This disclosure describes, according to some implementations, a system and method for adapting object handover from robot to human using perceptual affordances. In an example method, upon receiving sensor data describing surroundings and/or operational state of a robot unit from a sensor, the method calculates a probability of a perceptual classification based on the sensor data. The perceptual classification may be one or more of an environment classification, an object classification, a human action classification, or an electro-mechanical state classification. The method further calculates an affordance of the probability of the perceptual classifier using a preference model, determines a handover action based on the affordance, executes the handover action, and updates the preference model based on feedback.

A robot control system includes: a plurality of conversation-type robots including an acquiring unit configured to acquire conversation information including conversation content during conversation with the user, background information during the conversation with the sure, and information on emotional reaction of a user during the conversation with the user; a collector configured to collect the acquired conversation information; and a generator configured to generate control information for controlling the plurality of conversation-type robots by using the collected conversation information. The plurality of conversation-type robots have a conversation with the user by using the control information to acquire new conversation information from the user.

A method of optimizing social interaction between a robot and a human. The method comprises generating then executing a robot motion script for interaction with a human by a robot based on a characteristic detected by at least one of a plurality of sensors on the robot. The method further comprises detection, by at least one sensor of the robot, a reaction of the human during a first period. The robot then analyzes the reaction of the human and assigns a positive or negative classification to the reaction based on pre-defined mapping stored in the memory of the robot. The method further comprises modifying the robot motion script to incorporate a pre-defined modification based on the determination of a negative classification of the human reaction. The method further comprises executing the modified robot motion script during a second period to obtain an improved interaction with the human.

An autonomous mobile robot is provided. The autonomous mobile robot includes an upper module including a cargo space provided therein, and a cover, a lower module positioned under the upper module and providing a driving force, a driving module provided in the lower module, and a control unit that controls an operation of the driving module, in which the driving module includes a plurality of pairs of wheels capable of asynchronously contacting a road surface or ground so as to overcome a step or a stair.

A control system, method and computer program product cooperate to assist control for an autonomous robot. The system includes a communications interface that exchanges information with the autonomous robot (22). A user interface displays a scene of location in which the autonomous robot (22) is positioned, and also receives an indication of a user selection of a user selected area within the scene. The communications interface transmits an indication of said user selected area to the autonomous robot (22) for further processing of the area by said autonomous robot (22).

An information processing apparatus (3) according to an embodiment includes: a context analysis unit (310) that analyzes at least one or more contexts of a user (2), an environment, or a robot (1) based on acquired information; a work plan generation unit (330) that determines, regarding work executed by the user and the robot in cooperation, for each of steps of the work, whether to have the user or the robot execute the step, based on the context, and generates a work plan of the work; and a step determination unit (340) that determines the steps to be executed by the user and the steps to be executed by the robot, based on the work plan.

The disclosure discloses a control device for a robot to tease a pet and a mobile robot. The primary sensor is configured to continuously collect a preset number of frames of pet motion images in each motion cycle. The state recognizer is configured to judge the matching between the pet motion images continuously collected by the primary sensor and a pre-stored digital image of pet behavior, and then parse a matching result into behavior state parameters of a pet. The behavior interferometer is configured to adjust and control a behavior state of the pet according to the behavior state parameters and an additional road sign image provided by the secondary sensor. The laser projector is configured to project a laser beam to form a structural light spot, so that the pet changes toward the behavior state adjusted by the behavior interferometer.

A method includes providing a virtual representation of an environment of a robot. The virtual representation includes an object representation of an object in the environment. The method further includes determining an attribute of the object within the environment of the robot. The attribute includes at least one of occupancy data, force data, and deformation data pertaining to the object. The method further includes receiving a user command to control the robot to move with respect to the object, and modifying a received user command pertaining to the representation of the object based upon the attribute.

Disclosed is a method of controlling a robot system, including recognizing identification information of a user, by a first robot, transmitting a recognition result of the identification information of the user to a server system including one or more servers, by the first robot, receiving user input including a shopping cart service request from the user, by the first robot, transmitting information based on the user input to the server system, by the first robot, determining a support robot for supporting a task corresponding to the service request, by the server system, making a request to a second robot identified to be the support robot for the task, by the server system, and performing the task, by the second robot.