A multi-arm robot for realizing conversion between sitting and lying posture of patients and carrying patients to different positions is disclosed. The complete robot includes a manipulator module, a trunk module, a chassis moving module and a control module. The manipulator module comprises at least three manipulators, which are connected with the trunk module by linear modules. The trunk module comprises a trunk body and four linear modules, which are connected with the chassis moving module by bolts. The chassis moving module comprises a plurality of omnidirectional wheels and a telescopic counterweight. The control module includes an actuator module, an operation module, an information acquisition module, a motion control module, a data processing module, a communication module and an early warning module.

A humanoid hugging assembly includes a humanoid animatronic that has a torso, a pair of arms and a pair of hands each is disposed on a respective one of the arms. The arms are positionable in a resting position having the arms extending downwardly along the torso and having a palm of each of the hands facing the torso. Each of the arms is positionable in a hugging position has each of the arms is crossed in front of the torso wherein the pair of arms is configured to embrace the user. A motion sensor is integrated into the humanoid animatronic to sense motion of the user approaching the humanoid animatronic. A motion unit is integrated into the humanoid animatronic and the motion unit actuates each of the arms into the hugging position when a predetermined duration of time has passed when motion sensor senses motion.

An autonomously moving robotic device for distributing designated items includes multiple compartments, a release mechanism to release items from the multiple compartments; a memory module containing optical recognition scans and personal information of persons located within a premises, and substantive information of the designated items, optical recognition scanners, a control module in communication with the optical recognition scanners, the memory and the release mechanism. The control unit directs movement of the device, directs the optical recognition scanners to scan persons, and compares images from the optical recognition scanners to optical recognitions in the memory to identify persons. Upon identifying a person, the control unit searches personal information of the person and identifies designated items specified for that person, and then directs the release mechanism to release the designated item.

A lower body supporting robot system includes a lower body mechanism being worn on a user's lower body, the lower body mechanism including a plurality of joints and links and a drive device, a distance calculator for measuring a first distance that is a vertical distance to an object located therebelow and a second distance that is a vertical distance to a ground surface, a memory for storing a limit distance that is a vertical distance between the distance calculator and the ground surface when the lower body mechanism is in a lowest sitting posture, and a controller for calculating a tolerance distance that is a difference between the second distance and the limit distance, comparing the first distance with the tolerance distance, and controlling the drive device so that the distance calculator moves by the first distance when the first distance is less than the tolerance distance.

A telepresence robot may include a drive system, a control system, an imaging system, and a mapping module. The mapping module may access a plan view map of an area and tags associated with the area. In various embodiments, each tag may include tag coordinates and tag information, which may include a tag annotation. A tag identification system may identify tags within a predetermined range of the current position and the control system may execute an action based on an identified tag whose tag information comprises a telepresence robot action modifier. The telepresence robot may rotate an upper portion independent from a lower portion. A remote terminal may allow an operator to control the telepresence robot using any combination of control methods, including by selecting a destination in a live video feed, by selecting a destination on a plan view map, or by using a joystick or other peripheral device.

Methods, apparatus, systems, and computer-readable media are provided for selective robot deployment. In various implementations, a context of a user may be determined based at least in part on a record of one or more computing interactions associated with the user. In various implementations, a robot-performable task of the user may be identified based at least in part on the context. In various implementations, a measure of potential or actual interest of the user in deploying a robot to perform the robot-performable task may be determined. In various embodiments, the robot may be selectively deployed based on the measure of potential or actual interest.

A data processing method for a care-giving robot and an apparatus comprises receiving data from a target object comprising a capability parameter of the target object, generating a growing model capability parameter matrix of the target object that includes the capability parameter, a capability parameter adjustment value, and a comprehensive capability parameter that is calculated based on the capability parameter; adjusting the capability parameter adjustment value in the growing model capability parameter matrix, to determine an adjusted capability parameter adjustment value; determining whether the adjusted capability parameter adjustment value exceeds a preset threshold; and sending 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.

Embodiments of the present disclosure are directed to methods, computer program products, and computer systems of a robotic apparatus with robotic instructions replicating a food preparation recipe. In one embodiment, a robotic control platform, comprises one or more sensors; a mechanical robotic structure including one or more end effectors, and one or more robotic arms; an electronic library database of minimanipulations; a robotic planning module configured for real-time planning and adjustment based at least in part on the sensor data received from the one or more sensors in an electronic multi-stage process file, the electronic multi-stage process recipe file including a sequence of minimanipulations and associated timing data; a robotic interpreter module configured for reading the minimanipulation steps from the minimanipulation library and converting to a machine code; and a robotic execution module configured for executing the minimanipulation steps by the robotic platform to accomplish a functional result.

Embodiments of a method and system for engaging a patient include receiving a set of user inputs from the patient at an interaction engine associated with a companion robot; at the interaction engine, determining a patient model for the patient; at the interaction engine, determining patient goals for the patient; at the interaction engine, generating an interaction plan including a conversation component and an animation component, based on the patient model and the patient goals; and executing the interaction plan with the companion robot, thereby promoting engagement between the patient and the companion robot, in improving healthcare of the patient.

Provided is a method, computer program product, and system for automatically assigning robotic devices to users based on need using predictive analytics. A processor may monitor activities performed by one or more users. The processor may determine, based on the monitoring, a set of activities that require assistance from a robotic device when being performed by the one or more users. The processor may match the set of activities to a set of capabilities related to a plurality of robotic devices. The processor may identify, based on the matching, a first robotic device that is capable of assisting the one or more users in performing a first activity of the set of activities. The processor may deploy the first robotic device to assist the one or more users in performing the first activity.