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 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 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.