Abstract:
A tele-presence system that includes a portable robot face coupled to a remote station. The robot face includes a robot monitor, a robot camera, a robot speaker and a robot microphone. The remote station includes a station monitor, a station camera, a station speaker and a station microphone. The portable robot face can be attached to a platform mounted to the ceiling of an ambulance. The portable robot face can be used by a physician at the remote station to provide remote medical consultation. When the patient is moved from the ambulance the portable robot face can be detached from the platform and moved with the patient.
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:
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:
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 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 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 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 remote control station that controls a robot through a network. The remote control station transmits a robot control command that includes information to move the robot. The remote control station monitors at least one network parameter and scales the robot control command as a function of the network parameter. For example, the remote control station can monitor network latency and scale the robot control command to slow down the robot with an increase in the latency of the network. Such an approach can reduce the amount of overshoot or overcorrection by a user driving the robot.
Abstract:
A remote control station that controls a robot through a network. The remote control station transmits a robot control command that includes information to move the robot. The remote control station monitors at least one network parameter and scales the robot control command as a function of the network parameter. For example, the remote control station can monitor network latency and scale the robot control command to slow down the robot with an increase in the latency of the network. Such an approach can reduce the amount of overshoot or overcorrection by a user driving the robot.
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.