System for generating sets of control data for robots
The invention relates to a system for generating sets of control data for networked robots, comprising a plurality of robots (R i ), wherein i=1, 2, 3, . . . , n, and n≥2, an optimizer (OE) and a database (DB), which are networked via a data network, wherein each robot (R i ) includes at least: a control unit (SE i ) for controlling and/or regulating the robot (R i ); a storage unit (SPE i ) for controlling sets of control data SD i (A k ), which in each case enable the control of the robot (R i ) in accordance with a predetermined task (A k ), wherein k=1, 2, 3, . . . , m; a unit (EE i ) for specifying a new task A m+1 for the robot (R i ), wherein A m+1 ≠A k ; a unit (EH i ) for determining a set of control data SD i (A m+1 ) for execution of the task (A m+1 ) by the robot (R i ), an evaluation unit (BE i ), which evaluates the set of control data SD i (A m+1 ) determined by the unit (EH i ), with regard to at least one parameter (P 1 ) with the characteristic number K P1 (SD i (A m+1 )), and a communication unit (KE i ) for communication with the optimizer (OE) and/or the database (DB) and/or other robots (R j≠i ), the optimizer (OE), which is designed and configured in order to determine, upon request by a robot (R i ), at least one optimized set of control data SD i,P2 (A m+1 ) with regard to at least one predetermined parameter (P 2 ), wherein the request by the robot (R i ) occurs when the characteristic number K P1 (SD i (A m+1 )) does not meet a predetermined condition, and the data base (DB) stores the set of control data SD i,P2 (A m+1 ) optimized by the optimizer (OE) and provides it to the robot (R i ) for execution of the task (A m+1 ).
1. A system to generate sets of control data for networked robots, the system comprising a plurality of robots R i , wherein i=1, 2, 3, . . . , n, and n≥2, an optimizer OE, and a database DB, which are networked via a data network DN, wherein:
each robot R i comprises at least:
a control unit SE i to control the robot R i ;
a storage unit SPE i to store sets of control data SD i (A k ), which in each case enable control of the robot R i in accordance with a predetermined task A k , wherein k=0, 1, 2, . . . , m;
a unit EE i to specify a new task A m+1 not yet solved for the robot R i , wherein A m+1 ≠A k , and wherein the unit EE i comprises a haptic, acoustic, and/or optical input interface configured to enable a user to locally enter user input causing the unit EE i to specify the new task A m+1 ;
a unit EH i to determine a set of control data SD i (A m+1 ) for execution of the new task A m+1 by the robot R i ; and
an evaluation unit BE i to evaluate the set of control data SD i (A m+1 ) determined by the unit EH i , with regard to at least one parameter P1 with a characteristic number K P1 (SD i (A m+1 ));
the optimizer OE to determine, upon request by the robot R i , at least one optimized set of control data SD i,P2 (A m+1 ) with regard to at least one predetermined parameter P2, wherein the request by the robot R i occurs when the characteristic number K P1 (SD i (A m+1 )) does not meet a predetermined condition; and
the database DB to store the optimized set of control data SD i,P2 (A m+1 ) as optimized by the optimizer OE, and to provide the optimized set of control data SD i,P2 (A m+1 ) to the robot R i for execution of the new task A m+1 .
2. The system according to claim 1 , wherein the parameter P1 and the parameter P2 are identical.
3. The system according to claim 1 , wherein the parameter P1 or the parameter P2 is a partial energy consumption or a total energy consumption of the robot R i in execution of a respective set of control data SD i , or a total time period which the robot R i needs for execution of the respective control data SD i or a combination thereof.
4. The system according to claim 1 , wherein the unit EH i is configured to be self-learning, wherein the set of control data SD i (A m+1 ) is determined based on the set of control data SD i (A k ) for k=0 to m.
5. The system according to claim 4 , wherein the unit EH i is configured so that the set of control data SD i (A m+1 ) is determined based on characteristic numbers K(SD i (A k )).
6. The system according to claim 1 , wherein the optimizer OE is configured to be self-learning, wherein the optimized set of control data SD i,P2 (A m+1 ) is determined based on already determined optimized sets of control data SD i,P2 .
7. The system according to claim 1 , wherein the optimizer OE is configured as a collaborative agent system in the data network DN, the collaborative agent system comprising at least the units EH i as agents, wherein the optimized set of control data SD i,P2 (A m+1 ) is determined in one or more or all of the units EH i .
8. The system according to claim 1 , wherein the optimized set of control data SD i,P2 (A m+1 ) is determined by the optimizer OE using sets of control data SD i (A k ), wherein k=0, 1, m, stored on the storage units SPE i .
9. The system according to claim 1 , wherein the characteristic numbers K P1 (SD i (A k )) are stored on the storage unit SPE i .
10. A method of generating sets of control data for networked robots in a system comprising a plurality of robots R i , wherein i=1, 2, 3, . . . , n, and n≥2, an optimizer OE, and a database DB, which are networked via a data network DN, wherein each robot R i comprises at least a control unit SE i , a storage unit SPE i , a unit EE i , a unit EH i , and an evaluation unit BE i , the method comprising:
controlling each robot R i via a control unit SE i of the robot R i ;
storing in the storage unit SPE i of the robot R i sets of control data SD i (A k ), which in each case enable control of the robot R i in accordance with a predetermined task A k , wherein k=0, 1, 2, . . . , m;
specifying a new task A m+1 for the robot R i via the unit EE i of the robot R i , wherein A m+1 ≠A k , and wherein the unit EE i comprises a haptic, acoustic, and/or optical input interface configured to enable a user to locally enter user input causing the unit EE i to specify the new task A m+1 ;
determining via the unit EH i of the robot R i a set of control data SD i (A m+1 ) for execution of the new task A m+1 ;
evaluating via the evaluation unit BE i of the robot R i the set of control data SD i (A m+1 ) determined by the unit EH i , with regard to at least one parameter P1 with a characteristic number K P1 (SD i (A m+1 ));
determining via the optimizer OE, upon request by the robot R i , at least one optimized set of control data SD i,P2 (A m+1 ) with regard to a predetermined parameter P2, wherein the request by the robot R i occurs when the characteristic number K P1 (SD i (A m+1 )) does not meet a predetermined condition; and
storing in the database DB the optimized set of control data SD i,P2 (A m+1 ) as optimized by the optimizer OE, and providing the optimized set of control data SD i,P2 (A m+1 ) to the robot R i for execution of the task A m+1 .
11. The method according to claim 10 , wherein the parameter P1 and the parameter P2 are identical.
12. The method according to claim 10 , wherein the parameter P1 or the parameter P2 is a partial energy consumption or a total energy consumption of the robot R i in execution of a respective set of control data SD i , or a total time period which the robot R i needs for execution of the respective control data SD i , or a combination thereof.
13. The method according to claim 10 , wherein the unit EH i is configured to be self-learning, wherein the set of control data SD i (A m+1 ) is determined based on the set of control data SD i (A k ) for k=0 to m.
14. The method according to claim 13 , wherein the unit EH i is configured so that the set of control data SD i (A m+1 ) is determined based on characteristic numbers K(SD i (A k )).
15. The method according to claim 10 , wherein the optimizer OE is configured to be self-learning, wherein the optimized set of control data SD i,P2 (A m+1 ) is determined based on already determined optimized sets of control data SD i,P2 .
16. The method according to claim 10 , wherein the optimizer OE is configured as a collaborative agent system in the data network DN, the collaborative agent system comprising at least the units EH i as agents, wherein the optimized set of control data SD i,P2 (A m+1 ) is determined in one or more or all of the units EH i .
17. The method according to claim 10 , wherein the optimized set of control data SD i,P2 (A m+1 ) is determined by the optimizer OE using sets of control data SD i (A k ), wherein k=0, 1, m, stored on the storage units SPE i .
18. The method according to claim 10 , wherein the method comprises storing the characteristic numbers K P1 (SD i (A k )) on the storage unit SPE i .
19. The method according to claim 10 , wherein the method comprises enabling provision of communication via a communication unit KE i of each robot R i with the optimizer OE, the database DB, and other robots R j≠i over the data network DN.
20. The system according to claim 1 , wherein each robot R i further comprises a communication unit KE i enabled to provide communication of the robot R i with the optimizer OE, the database DB, and other robots R j≠i over the data network DN.