Semantic robotic device

Patent metadata

Field	Value
Publication number	US-12447608-B2
Application number	US-202519058397-A
Country	US
Kind code	B2
Filing date	Feb 20, 2025
Priority date	Jan 3, 2019
Publication date	Oct 21, 2025
Grant date	Oct 21, 2025

Abstract

A semantic robotic device applies semantic inference to determine at least one affirmative resonant semantic group and at least one non-affirmative semantic group in rapport with a stored semantic goal. The semantic robotic device displays the first semantic group and the second semantic group in an optimized manner for a user or an observer.

First claim

I claim:

1. A semantic robotic device, comprising:
a processor, a memory and at least one transceiver;
the memory storing a plurality of semantics;
the memory storing a plurality of endpoints;
each of the endpoints being associated with at least one semantic among the plurality of semantics;
the memory further storing at least one semantic goal;
the processor being configured to:
infer a first semantic group comprising a first subset of endpoints among the plurality of endpoints, the first semantic group being inferred based on a determination of an affirmative semantic resonance between each member of the first semantic group and the at least one semantic goal;
infer a second semantic group comprising a second subset of endpoints among the plurality of endpoints, the second semantic group being inferred based on a non-affirmative semantic resonance between each member of the second semantic group and the at least one semantic goal; and
present a representation of the first semantic group and the second semantic group on a display.

2. The semantic robotic device of claim 1 , wherein the at least one semantic goal is indicative of an intrinsic first user goal.

3. The semantic robotic device of claim 1 , wherein the at least one semantic goal is indicative of an observer goal.

4. The semantic robotic device of claim 1 , wherein the at least one semantic goal is inferred based on the user guide.

5. The semantic robotic device of claim 4 , wherein the user guide content is associated with a programming schedule.

6. The semantic robotic device of claim 4 , wherein the user guide content is associated with a manual.

7. The semantic robotic device of claim 1 , wherein the processor is further configured to factorize a first semantic goal from among the at least one semantic goal in rapport with a second semantic goal from among the at least one semantic goal.

8. The semantic robotic device of claim 1 , wherein the processor is further configured to factorize a leadership of a first semantic goal from among the at least one semantic goal and a second semantic goal from among the at least one semantic goal in rapport with a first subset of semantics among the plurality of semantics.

9. The semantic robotic device of claim 8 , wherein the first subset of semantics are associated with the first subset of endpoints among the plurality of endpoints.

10. The semantic robotic device of claim 9 , wherein a second subset of semantics are associated with the second subset of endpoints among the plurality of endpoints.

11. A semantic robotic device, comprising:
a processor, a memory and at least one transceiver;
the memory storing a plurality of semantics;
the memory storing a plurality of endpoints;
each endpoint being associated with at least one semantic among the plurality of semantics;
the memory storing a user interface control;
the memory storing at least one semantic goal;
the processor being configured to:
infer a first semantic group comprising a first subset of endpoints among the plurality of endpoints, the first semantic group being inferred via a semantic analysis which applies a semantic drift to determine affirmative semantic resonance between each member of the first semantic group and the at least one semantic goal;
infer a second semantic group comprising a second subset of endpoints among the plurality of endpoints, the second semantic group being inferred via a semantic analysis which applies a high entropy semantic drift to determining a non-affirmative semantic resonance between each member of the second semantic group and the at least one semantic goal;
select the at least one user interface control based on a first semantic from among the plurality of semantics, the first semantic being associated with the first semantic group; and
send data associated with the first semantic group to the at least one user interface control for display.

12. The semantic robotic device of claim 11 , wherein the at least one semantic goal is indicative of an intrinsic first user goal.

13. The semantic robotic device of claim 11 , wherein the at least one semantic goal is indicative of an observer goal.

14. The semantic robotic device of claim 11 , wherein the at least one semantic goal is inferred based on the user guide.

15. The semantic robotic device of claim 14 , wherein the user guide content is associated with a programming schedule.

16. The semantic robotic device of claim 14 , wherein the user guide content is associated with a manual.

17. The semantic robotic device of claim 11 , wherein the processor is configured to factorize a first semantic goal from among the at least one semantic goal in rapport with a second semantic goal from among the at least one semantic goal.

18. The semantic robotic device of claim 11 , wherein the processor is configured to factorize a leadership of a first semantic goal from among the at least one semantic goal and a second semantic goal from among the at least one semantic goal in rapport with a first subset of semantics among the plurality of semantics.

19. The semantic robotic device of claim 18 , wherein the first subset of semantics is associated with the first subset of endpoints among the plurality of endpoints.

20. The semantic robotic device of claim 18 , wherein the second subset of semantics are associated with the second subset of endpoints among the plurality of endpoints.

21. A semantic robotic device, comprising:
a processor, a memory and at least one transceiver;
the memory storing a plurality of semantics;
the memory storing a plurality of endpoints;
each endpoint being associated with at least one semantic among the plurality of semantics;
the memory storing a user interface control;
the memory further storing at least one semantic goal;
the processor being configured to:
infer a first semantic group comprising a first subset of endpoints among the plurality of endpoints, the first semantic group being inferred based on a semantic analysis which applies a semantic drift to determine affirmative semantic resonance between each member of the first semantic group and the at least one semantic goal;
infer a second semantic group comprising a second subset of endpoints among the plurality of endpoints, the second semantic group being inferred based on a semantic analysis which applies a high entropy semantic drift to determining a non-affirmative semantic resonance between each member of the second semantic group and the at least one semantic goal;
select the at least one user interface control based on a first semantic from among the plurality of semantics, the first semantic being associated with the second semantic group; and
send data associated with the second semantic group to the at least one user interface control for display.

22. The semantic robotic device of claim 21 , wherein the at least one semantic goal is indicative of an intrinsic first user goal.

23. The semantic robotic device of claim 21 , wherein the at least one semantic goal is indicative of an observer goal.

24. The semantic robotic device of claim 21 , wherein the at least one semantic goal is inferred based on the user guide.

25. The semantic robotic device of claim 24 , wherein the user guide content is associated with a programming schedule.

26. The semantic robotic device of claim 24 , wherein the user guide content is associated with a

Assignees

• Lucomm Tech Inc

Inventors

• Cristache Lucian

Classifications

• G06N20/00

  Machine learning · CPC title

• B25J9/163

  learning, adaptive, model based, rule based expert control · CPC title

• B25J9/161 Primary

  Hardware, e.g. neural networks, fuzzy logic, interfaces, processor · CPC title

• G06N5/022

  Knowledge engineering; Knowledge acquisition · CPC title

• B25J9/1653 Primary

  parameters identification, estimation, stiffness, accuracy, error analysis · CPC title