Abstract: A computer-readable medium stores instructions that cause one or more processors to perform mental wellness activities. The activities can include providing a user interface to receive inputs about a user's challenges and strengths, generating a query to a large language model (LLM) to create a narrative where challenges are addressed based on strengths, and displaying the narrative. The activities can include providing an interface for a therapeutic exercise, showing the exercise's intention, guiding the user through the exercise, and collecting feedback afterward. The activities can include recommending therapeutic activities by analyzing user data to identify preferences or emotional states. Based on the amount of aggregate user data, either predefined rules or collaborative filtering is used to make personalized activity recommendations.

Abstract: A system for automated health condition scoring includes at least one communication interface to receive an audio stream and a video stream from an endpoint in proximity to a patient, at least two different artificial intelligence (“AI”) detectors to respectively process one or both of the audio stream and the video stream using machine learning to automatically determine at least two respective likelihoods of the patient having a health condition, an AI scorer to combine the at least two respective likelihoods of the health condition using machine learning to automatically determine a health condition score representing an overall likelihood of the patient having the health condition, and a display interface that displays an indication of the health condition score to a physician.

Abstract: 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.

Abstract: A telepresence device may relay video, audio, and/or measurement data to a user operating a control device. A user interface may permit the user to quickly view and/or understand temporally and/or spatially disparate information. The telepresence device may pre-gather looped video of spatially disparate areas in an environment. A temporal control mechanism may start video playback at a desired point in a current or historical video segment. Notations may be associated with time spans in a video and recalled by capturing an image similar to a frame in the time span of the video. An area of interest may be selected and video containing the area of interest may be automatically found. Situational data may be recorded and used to recall video segments of interest. The telepresence device may synchronize video playback and movement. A series of videos may be recorded at predetermined time intervals to capture visually trending information.

Abstract: 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.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot includes a drive system configured to move the telepresence robot, a control system configured to control the drive system to drive the telepresence robot around a work area along a first navigational path, an object detection system configured to detect a plurality of objects along the first navigational path, an object classification system configured to identifying one or more classifications for at least two objects of the plurality of objects, and a social path component configured to determine that the first navigational path passes through a zone between the at least two objects, and in response to the one or more classifications satisfying at least one condition, changing the first navigational path to a second navigational path that avoids passing through the zone between the at least two objects.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot includes a drive system configured to move the telepresence robot; a control system configured to control the drive system to drive the telepresence robot around a work area; an object detection system configured to determine that a first object encountered by the telepresence robot is a human; and a social path component configured to: determine a first lockout zone having a first radius around the human and a first comfort zone having a second radius around the human, the second radius being larger than the first radius; and instruct the control system to cause the telepresence robot to: avoid traveling through the first lockout zone; move at a first maximum speed within the first comfort zone; and move at a second maximum speed outside of the first comfort zone, wherein the second maximum speed is greater than the first maximum speed.

Abstract: A secure, reliable telehealth delivery platform that also provides flexibility and scalability. The platform includes a plurality of geographically dispersed communication servers that facilitate communication sessions between remotely located patients and healthcare providers over a public communications network. The platform includes a connectivity server that manages access among users and locations. The platform also includes a monitoring server that monitors the health and usage of devices coupled to the network and proactively identifies issues requiring intervention before service interruptions occur.

Abstract: A telepresence device may relay video, audio, and/or measurement data to a user operating a control device. A user interface may permit the user to quickly view and/or understand temporally and/or spatially disparate information. The telepresence device may pre-gather looped video of spatially disparate areas in an environment. A temporal control mechanism may start video playback at a desired point in a current or historical video segment. Notations may be associated with time spans in a video and recalled by capturing an image similar to a frame in the time span of the video. An area of interest may be selected and video containing the area of interest may be automatically found. Situational data may be recorded and used to recall video segments of interest. The telepresence device may synchronize video playback and movement. A series of videos may be recorded at predetermined time intervals to capture visually trending information.

Abstract: A remote controlled robot system that includes a robot and a remote control station that communicate through a communication network. Communication with the robot is limited by a firewall coupled to the communication network. A communication server establishes communication between the robot and the remote control station so that the station can send commands to the robot through the firewall.

Abstract: A telepresence device may autonomously check patients. The telepresence device may determine the frequency of checking based on whether the patient has a risk factor. The telepresence device may include an image sensor, a thermal camera, a depth sensor, one or more systems for interacting with patients, or the like. The telepresence device may be configured to evaluate the patient's condition using the one or more sensors. The telepresence device may measure physiological characteristics using Eulerian video magnification, may detect pallor, fluid level, or fluid color, may detect thermal asymmetry, may determine a psychological state from body position or movement, or the like. The telepresence device may determine whether the patient is experiencing a potentially harmful condition, such as sepsis or stroke, and may trigger an alarm if so. To overcome alarm fatigue, the telepresence device may annoy a care provider until the care provider responds to an alarm.

Abstract: A robot system with a robot that has a camera and a remote control station that can connect to the robot. The connection can include a plurality of privileges. The system further includes a server that controls which privileges are provided to the remote control station. The privileges may include the ability to control the robot, joint in a multi-cast session and the reception of audio/video from the robot. The privileges can be established and edited through a manager control station. The server may contain a database that defines groups of remote control station that can be connected to groups of robots. The database can be edited to vary the stations and robots within a group. The system may also allow for connectivity between a remote control station at a user programmable time window.

Abstract: A system for automated health condition scoring includes at least one communication interface to receive an audio stream and a video stream from an endpoint in proximity to a patient, at least two different artificial intelligence (“AI”) detectors to respectively process one or both of the audio stream and the video stream using machine learning to automatically determine at least two respective likelihoods of the patient having a health condition, an AI scorer to combine the at least two respective likelihoods of the health condition using machine learning to automatically determine a health condition score representing an overall likelihood of the patient having the health condition, and a display interface that displays an indication of the health condition score to a physician.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot includes a drive system configured to move the telepresence robot; a control system configured to control the drive system to drive the telepresence robot around a work area; an object detection system configured to determine that a first object encountered by the telepresence robot is a human; and a social path component configured to: determine a first lockout zone having a first radius around the human and a first comfort zone having a second radius around the human, the second radius being larger than the first radius; and instruct the control system to cause the telepresence robot to: avoid traveling through the first lockout zone; move at a first maximum speed within the first comfort zone; and move at a second maximum speed outside of the first comfort zone, wherein the second maximum speed is greater than the first maximum speed.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot may include a drive system, a control system, an object detection system, and a social behaviors component. The drive system is configured to move the telepresence robot. The control system is configured to control the drive system to drive the telepresence robot around a work area. The object detection system is configured to detect a human in proximity to the telepresence robot. The social behaviors component is configured to provide instructions to the control system to cause the telepresence robot to operate according to a first set of rules when a presence of one or more humans is not detected and operate according to a second set of rules when the presence of one or more humans is detected.

Abstract: Automatically generating a structured medical note during a remote medical consultation using machine learning. A provider tele-presence device may receive audio from a medical provider. A medical documentation server may be coupled to the network. A machine learning network receives audio data from the provider tele-presence device, the machine learning network generating a structured medical note based on the received audio data, and wherein the structured medical note is stored in the medical documentation server in association with an identity of a patient.

Abstract: 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.

Abstract: A telepresence device may relay video, audio, and/or measurement data to a user operating a control device. A user interface may permit the user to quickly view and/or understand temporally and/or spatially disparate information. The telepresence device may pre-gather looped video of spatially disparate areas in an environment. A temporal control mechanism may start video playback at a desired point hi a current or historical video segment. Notations may be associated with time spans in a video and recalled by capturing an image similar to a frame in the time span of the video. An area of interest may be selected and video containing the area of interest may be automatically found. Situational data may be recorded and used to recall video segments of interest. The telepresence device may synchronize video playback and movement. A series of videos may be recorded at predetermined time intervals to capture visually trending information.

Abstract: Automatically generating a structured medical note during a remote medical consultation using machine learning. A provider tele-presence device may receive audio from a medical provider. A medical documentation server may be coupled to the network. A machine learning network receives audio data from the provider tele-presence device, the machine learning network generating a structured medical note based on the received audio data, and wherein the structured medical note is stored in the medical documentation server in association with an identity of a patient.

Abstract: A robotic system that is used in a tele-presence session. For example, the system can be used by medical personnel to examine, diagnose and prescribe medical treatment in the session. The system includes a robot that has a camera and is controlled by a remote station. The system further includes a storage device that stores session content data regarding the session. The data may include a video/audio taping of the session by the robot. The session content data may also include time stamps that allow a user to determine the times that events occurred during the session. The session content data may be stored on a server that accessible by multiple users. Billing information may be automatically generated using the session content data.