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 system parameter and scales the robot control command as a function of the system 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:
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:
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:
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.