Systems and methods for process tending with a robot arm

1. A system for process tending with a self-driving vehicle having a robot arm, the system comprising:

a server configured to provide a process location;

the self-driving vehicle having:

a vehicle control system storing a map and configured to:

capture a machine image and determine a machine identifier based on the machine image;

receive the process location from the server;

determine a waypoint based on the one or more of the process location and the machine identifier; and

autonomously navigate the self-driving vehicle to the waypoint based on the map; and

a vision system operable by the vehicle control system for capturing the machine image;

at least one vehicle safety sensor in communication with the vehicle control system, for sensing a vehicle obstacle in the environment of the self-driving vehicle, such that the vehicle control system autonomously navigates the self-driving vehicle to the waypoint based at least on the map and the vehicle obstacle; and

the robot arm mounted on the vehicle, the robot arm having a robot arm control system storing at least one program executable by the robot arm, the robot arm control system being configured to:

select a target program from the at least one program based on the one or more of the process location and the machine identifier; and

execute the target program for at least operating the robot arm at the waypoint; and

the robot arm control system comprises at least one robot arm safety sensor in communication with the robot arm control system, for sensing a robot arm obstacle in the environment of the robot arm, such that the robot arm control system alters a movement of the robot arm based at least on the robot arm obstacle.

2. The system of claim 1 , wherein the vehicle control system is further configured to navigate the self-driving vehicle to a second waypoint determined based on one or more of a second process location received from the server and a second machine identifier determined from a second image captured by the self-driving vehicle.

3. The system of claim 2 , wherein the robot arm control system is configured to:

select a second target program from the at least one program based on one or more of the second process location and the second machine identifier; and

execute the second target program with the robot arm at the second waypoint.

4. The system of claim 1 , wherein the vision system comprises a non-visible light sensor for capturing at least a portion of the machine image.

5. The system of claim 1 , wherein the vehicle control system is further configured to:

query at least one of the server and the robot arm control system for the machine identifier based on a machine data determined from the machine image.

6. The system of claim 1 , wherein the at least one vehicle safety sensor is configured to detect the vehicle obstacle based on a vehicle-safety field of view and the at least one robot arm safety sensor is configured to detect the robot arm obstacle based on a robot-arm-safety field of view;

wherein at least one part of the vehicle-safety field of view does not overlap with the robot-arm-safety field of view.

7. The system of claim 1 , wherein the robot arm control system is further configured to:

prior to executing the target program, select a tool based on the process location and attaching the tool to the robot arm.

8. A method for process tending with a self-driving vehicle having a robot arm, the method comprises:

operating a vehicle control system to:

capture a machine image and to determine a machine identifier based on the machine image;

receive the process location from a server;

determine a waypoint based on the one or more of the process location and the machine identifier;

autonomously navigate the self-driving vehicle to the waypoint based on the map;

operate a vision system of the self-driving vehicle for capturing the machine image; and

operate at least one vehicle safety sensor in communication with the vehicle control system for sensing a vehicle obstacle in the environment of the self-driving vehicle, such that the vehicle control system autonomously navigates the self-driving vehicle to the waypoint based at least on the map and the vehicle obstacle; and

operating a robot arm control system of the robot arm mounted on the vehicle to:

select a target program from at least one program stored at the robot arm control system executable by the robot arm based on the one or more of the process location and the machine identifier; and

execute the target program for at least operating the robot arm at the waypoint; and

operate at least one robot arm safety sensor in communication with the robot arm control system for sensing a robot arm obstacle in the environment of the robot arm, such that the robot arm control system alters a movement of the robot arm based at least on the robot arm obstacle.

9. The method of claim 8 further comprises operating the vehicle control system to navigate the self-driving vehicle to a second waypoint determined based on one or more of a second process location received from the server and a second machine identifier determined from a second image captured by the self-driving vehicle.

10. The method of claim 9 further comprises operating the robot arm control system to:

select a second target program from the at least one program based on one or more of the second process location and the second machine identifier; and

execute the second target program with the robot arm at the second waypoint.

11. The method of claim 8 , wherein the vision system comprises a non-visible light sensor for capturing at least a portion of the machine image.

12. The method of claim 8 further comprises operating the vehicle control system to:

query at least one of the server and the robot arm control system for the machine identifier based on a machine data determined from the machine image.

13. The method of claim 8 , wherein the at least one vehicle safety sensor is configured to detect the vehicle obstacle based on a vehicle-safety field of view and the at least one robot arm safety sensor is configured to detect the robot arm obstacle based on a robot-arm-safety field of view;

wherein at least one part of the vehicle-safety field of view does not overlap with the robot-arm-safety field of view.

14. The method of claim 8 further comprises operating the robot arm control system to:

prior to executing the target program, select a tool based on the process location and attaching the tool to the robot arm.