Intermediate waypoint generator
A method for generating intermediate waypoints for a navigation system of a robot includes receiving a navigation route. The navigation route includes a series of high-level waypoints that begin at a starting location and end at a destination location and is based on high-level navigation data. The high-level navigation data is representative of locations of static obstacles in an area the robot is to navigate. The method also includes receiving image data of an environment about the robot from an image sensor and generating at least one intermediate waypoint based on the image data. The method also includes adding the at least one intermediate waypoint to the series of high-level waypoints of the navigation route and navigating the robot from the starting location along the series of high-level waypoints and the at least one intermediate waypoint toward the destination location.
1. A computer-implemented method comprising:
receiving, at data processing hardware of a robot, a navigation route that is based on one or more locations of one or more obstacles in an environment of the robot, the navigation route comprising a first waypoint and a second waypoint;
receiving, at the data processing hardware, from an image sensor, image data associated with the environment;
determining, by the data processing hardware, a plurality of paths from the first waypoint to the second waypoint based on the image data;
selecting, by the data processing hardware, a path from the plurality of paths, the path comprising at least one intermediate waypoint between the first waypoint and the second waypoint, wherein the at least one intermediate waypoint and at least one of the first waypoint or the second waypoint are generated using different data; and
instructing, by the data processing hardware, navigation of the robot from a starting location to a destination location in the environment via the first waypoint, the at least one intermediate waypoint, and the second waypoint.
2. The computer-implemented method of claim 1 , further comprising:
comparing a first path of the plurality of paths to a second path of the plurality of paths, wherein selecting the path is based on comparing the first path to the second path.
3. The computer-implemented method of claim 1 , further comprising:
determining a first rotation associated with a first path of the plurality of paths; and
determining a second rotation associated with a second path of the plurality of paths, wherein selecting the path is based on the first rotation and the second rotation.
4. The computer-implemented method of claim 1 , further comprising:
adding the at least one intermediate waypoint to the navigation route.
5. The computer-implemented method of claim 1 , wherein the first waypoint is associated with the starting location, and wherein the second waypoint is associated with the destination location.
6. The computer-implemented method of claim 1 , wherein a first portion of the environment between the first waypoint and the at least one intermediate waypoint is associated with a first yaw configuration, and wherein a second portion of the environment between the at least one intermediate waypoint and the second waypoint is associated with a second yaw configuration.
7. The computer-implemented method of claim 1 , wherein the image data is indicative of one or more additional obstacles.
8. The computer-implemented method of claim 1 , wherein the plurality of paths comprises two or more paths around one or more additional obstacles.
9. The computer-implemented method of claim 1 , wherein the navigation route is further based on a map indicative of the one or more locations of the one or more obstacles.
10. The computer-implemented method of claim 1 , wherein each of the plurality of paths comprises a respective at least one intermediate waypoint between the first waypoint and the second waypoint.
11. The computer-implemented method of claim 1 , wherein instructing navigation of the robot comprises instructing navigation of the robot such that the robot maintains at least a threshold distance from the one or more obstacles.
12. The computer-implemented method of claim 1 , wherein the image data is indicative of one or more updated locations of the one or more obstacles.
13. The computer-implemented method of claim 1 , wherein receiving the image data comprises receiving the image data based on navigation of at least a portion of the environment by the robot.
14. The computer-implemented method of claim 13 , wherein selecting the path comprises selecting the path in real time.
15. A system comprising:
data processing hardware; and
memory in communication with the data processing hardware, the memory storing instructions that when executed on the data processing hardware cause the data processing hardware to:
receive a navigation route that is based on one or more locations of one or more obstacles in an environment of a robot, the navigation route comprising a first waypoint and a second waypoint;
receive, from an image sensor, image data associated with the environment;
determine a plurality of paths from the first waypoint to the second waypoint based on the image data;
select a path from the plurality of paths, the path comprising at least one intermediate waypoint between the first waypoint and the second waypoint, wherein the at least one intermediate waypoint and at least one of the first waypoint or the second waypoint are generated using different data; and
instruct navigation of the robot from a starting location to a destination location in the environment via the first waypoint, the at least one intermediate waypoint, and the second waypoint.
16. The system of claim 15 , wherein execution of the instructions further causes the data processing hardware to:
compare a first path of the plurality of paths to a second path of the plurality of paths, wherein selecting the path is based on comparing the first path to the second path.
17. The system of claim 15 , wherein a first portion of the environment between the first waypoint and the at least one intermediate waypoint is associated with a first yaw configuration, and wherein a second portion of the environment between the at least one intermediate waypoint and the second waypoint is associated with a second yaw configuration.
18. A robot comprising:
an image sensor;
at least two legs;
data processing hardware in communication with the image sensor; and
memory in communication with the data processing hardware, the memory storing instructions that when executed on the data processing hardware cause the data processing hardware to:
receive a navigation route that is based on one or more locations of one or more obstacles in an environment of a robot, the navigation route comprising a first waypoint and a second waypoint;
receive, from the image sensor, image data associated with the environment;
determine a plurality of paths from the first waypoint to the second waypoint based on the image data;
select a path from the plurality of paths, the path comprising at least one intermediate waypoint between the first waypoint and the second waypoint, wherein the at least one intermediate waypoint and at least one of the first waypoint or the second waypoint are generated using different data; and
instruct navigation of the robot from a starting location to a destination location in the environment via the first waypoint, the at least one intermediate waypoint, and the second waypoint.
19. The robot of claim 18 , wherein the image data is indicative of one or more additional obstacles.
20. The robot of claim 18 , wherein the image data is indicative of one or more updated locations of the one or more obstacles.
21. The computer-implemented method of claim 1 , further comprising:
determining a location within the path to place the at least one intermediate waypoint.
22. The computer-implemented method of claim 1 , further comprising:
generating one or more step locations associated with the path based on selecting the path, wherein instructing navigation of the robot comprises instructing the robot to place one or more feet of the robot at the one or more step locations.
23. The computer-implemented method of claim 1 , wherein each of the first waypoint, the at least one intermediate waypoint, and the second waypoint are associated with at least one of a respective yaw value, a respective time value, or a respective location on a ground surface of the environment.