Method for robotic energy saving tool search

1. A method for product data management, the method performed by a data processing system and comprising:

receiving inputs including one or more of robot information, tooling information, operation information, and position information;

generating a list of tooling candidates for a robot required to complete one or more tasks for a complex operation and a task location for each of the one or more tasks in the complex operation;

removing a tooling candidate from the list of tooling candidates when the robot cannot reach every task location on a path required by the complex operation when using that tooling candidate;

adjusting the path to remove one or more collision events;

calculating a total energy consumption value for each remaining tooling candidate; and

operating the robot using an optimal tooling based on the tooling candidate with a lowest total energy consumption.

2. The method for product data management of claim 1 , wherein the tooling information includes a tooling orientation based on an orientation of the tooling candidate mounted on the robot.

3. The method for product data management of claim 2 , wherein reaching a task location requires the tooling orientation to match a task location orientation of the tooling candidate for each task location.

4. The method for product data management of claim 2 , further comprising:

adjusting the path for each tooling candidate based on a tooling orientation of each tooling candidate connected to the robot.

5. The method for product data management of claim 4 , wherein adjusting the path is based on determining the path with the lowest total energy consumption.

6. The method for product data management of claim 1 , wherein the total energy consumption includes an energy consumption of the robot and an energy consumption of the tooling candidate.

7. The method for product data management of claim 1 , further comprising:

removing a tooling candidate from the list of tooling candidates when the one or more collision events cannot be removed by adjusting the path.

8. A data processing system comprising:

a processor; and

an accessible memory, the data processing system particularly configured to:

receive inputs including one or more of robot information, tooling information, operation information, and position information;

generate a list of tooling candidates of a robot required to complete one or more tasks for a complex operation and a task location for each of the one or more tasks in the complex operation;

remove a tooling candidate from the list of tooling candidates when the robot cannot reach every task location on a path required by the complex operation when using that tooling candidate;

adjust the path to remove one or more collision events;

calculate a total energy consumption value for each remaining tooling candidate;

operate the robot using an optimal tooling based on the tooling candidate with a lowest total energy consumption.

9. The data processing system of claim 8 , wherein the tooling information includes a tooling orientation based on an orientation of the tooling candidate mounted on the robot.

10. The data processing system of claim 9 , wherein reaching a task location requires the tooling orientation to match a task location orientation of the tooling candidate for each task location.

11. The data processing system of claim 9 , further comprising:

adjust the path for each tooling candidate based on a tooling orientation of each tooling candidate connected to the robot.

12. The data processing system of claim 11 , wherein to adjust the path is based on determining the path with the lowest total energy consumption.

13. The data processing system of claim 8 , wherein the total energy consumption includes an energy consumption of the robot and an energy consumption of the tooling candidate.

14. The data processing system of claim 13 , wherein the data processing system is further configured to:

remove a tooling candidate from the list of tooling candidates when the one or more collision events cannot be removed by adjusting the path.

15. A non-transitory computer-readable medium encoded with executable instructions that, when executed, cause one or more data processing systems to:

receive inputs including one or more of robot information, tooling information, operation information, and position information;

generate a list of tooling candidates of a robot required to complete one or more tasks for a complex operation and a task location for each of the one or more tasks in the complex operation;

remove a tooling candidate from the list of tooling candidates when the robot cannot reach every task location on a path required by the complex operation when using that tooling candidate;

adjust the path to remove one or more collision events;

calculate a total energy consumption value for each remaining tooling candidate; and

operate the robot using an optimal tooling based on the tooling candidate with a lowest total energy consumption.

16. The non-transitory computer-readable medium of claim 15 , wherein the tooling information includes a tooling orientation based on an orientation of the tooling candidate mounted on the robot.

17. The non-transitory computer-readable medium of claim 16 , wherein reaching a task location requires the tooling orientation to match a task location orientation of the tooling candidate for each location.

18. The non-transitory computer-readable medium of claim 16 , wherein the executable instructions, when executed, further cause the one or more data processing systems to:

adjust the path for each tooling candidate based on a tooling orientation of each tooling candidate connected to the robot.

19. The non-transitory computer-readable medium of claim 18 , wherein to adjust the path is based on determining the path with the lowest total energy consumption.

20. The non-transitory computer-readable medium of claim 15 , wherein the total energy consumption includes an energy consumption of the robot and an energy consumption of the tooling candidate.