Carpet drift estimation using differential sensors or visual measurements
Apparatus and methods for carpet drift estimation are disclosed. In certain implementations, a robotic device includes an actuator system to move the body across a surface. A first set of sensors can sense an actuation characteristic of the actuator system. For example, the first set of sensors can include odometry sensors for sensing wheel rotations of the actuator system. A second set of sensors can sense a motion characteristic of the body. The first set of sensors may be a different type of sensor than the second set of sensors. A controller can estimate carpet drift based at least on the actuation characteristic sensed by the first set of sensors and the motion characteristic sensed by the second set of sensors.
1. A robotic device, comprising:
one or more sensors;
an actuator system; and
a controller configured to:
generate a drive signal to the actuator system to maneuver the robotic device across a surface including a portion of a substantially straight path;
receive sensor data from the one or more sensors, the sensor data indicative of a motion characteristic of the robotic device moving across the surface;
estimate a drift lateral to the substantially straight path free of robot rotation using the received sensor data; and
determine whether the surface is carpeted or non-carpeted based on the estimated drift.
2. The robotic device of claim 1 , wherein the controller is configured to estimate the drift including to determine a drift vector using the received sensor data, and to determine whether the surface is carpeted or non-carpeted based on a magnitude or a direction of the drift vector.
3. The robotic device of claim 1 , wherein the controller is configured to determine a change in heading of the robotic device using the received sensor data, and to estimate the drift based at least on the determined change in heading.
4. The robotic device of claim 3 , wherein the controller is configured to generate a first heading estimate using a first sensor and a second heading estimate using a second sensor different from the first sensor, and to determine the change in heading based on a comparison between the first and the second heading estimates.
5. The robotic device of claim 4 , wherein the first sensor is an odometry sensor, and the second sensor is a gyroscopic sensor.
6. The robotic device of claim 1 , wherein the controller is configured to determine a change in path angle using the received sensor data, and to estimate the drift based at least on the determined change in path angle.
7. The robotic device of claim 6 , wherein the controller is configured to determine the change in path angle using imaging data sensed by an imaging sensor.
8. The robotic device of claim 1 , wherein the received sensor data include odometry data sensed by an odometry sensor, and wherein the controller is configured to adjust the odometry data using the estimated drift.
9. The robotic device of claim 8 , wherein the controller is configured to adjust the odometry data using a correction term proportional to a grain magnitude along a grain direction on a carpeted surface.
10. The robotic device of claim 8 , wherein the controller is configured to determine a position or a pose of the robotic device using the adjusted odometry data.
11. The robotic device of claim 1 , wherein the received sensor data include visual observations of motion as the robotic device moves across the surface.
12. The robotic device of claim 1 , wherein the received sensor data include imaging data sensed by an imaging sensor as the robotic device moves across the surface.
13. The robotic device of claim 1 , wherein the controller is configured to generate a control signal to the actuator system to compensate for the estimated drift and to maintain the robotic device on a planned path.
14. A method of operating a robotic device comprising one or more sensors, an actuator system, and a controller, the method comprising:
generating, by the controller, a drive signal to the actuator system to maneuver the robotic device across a surface including a portion of a substantially straight path;
receiving, from the one or more sensors, data indicative of a motion characteristic of the robotic device moving across the surface;
estimating, by the controller, a drift lateral to the substantially straight path free of robot rotation using the received sensor data; and
determining, by the controller, whether the surface is carpeted or non-carpeted based on the estimated drift.
15. The method of claim 14 , wherein:
estimating the drift includes determining a drift vector using the received sensor data; and
determining whether the surface is carpeted or non-carpeted is based on a magnitude or a direction of the drift vector.
16. The method of claim 14 , comprising:
generating a first heading estimate using an odometry sensor and a second heading estimate using a gyroscopic sensor; and
determining a change in heading based on a comparison between the first and second heading estimates;
wherein estimating the drift is based at least on the determined change in heading.
17. The method of claim 14 , comprising determining a change in path angle using imaging data sensed by an imaging sensor,
wherein estimating the drift is based at least on the determined change in path angle.
18. The method of claim 14 , wherein the received sensor data include odometry data sensed by an odometry sensor as the robotic device moves across the surface, the method further comprising adjusting the odometry data using the estimated drift.
19. A robotic device, comprising:
one or more sensors;
an actuator system; and
a controller configured to:
generate a drive signal to the actuator system to maneuver the robotic device across a surface including a portion of a substantially straight path;
receive sensor data indicative of a motion characteristic of the robotic device moving across the surface, the sensor data including odometry data sensed by an odometry sensor;
estimate a drift lateral to the substantially straight path free of robot rotation using the received sensor data; and
adjust the odometry data using the estimated drift.
20. The robotic device of claim 19 , wherein the controller is configured to:
adjust the odometry data using a correction term proportional to a grain magnitude along a grain direction on a carpeted surface; and
determine a position or a pose of the robotic device using the adjusted odometry data.