Granted Patent B2

US 12,596,769 · App. 19/301,204 · Granted Apr 7, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

G06F18/256G06F17/18G06F18/217G06F18/2431G06F18/25G06F18/251G06N3/02B60W2556/35G05D2111/67G06F18/213G06N5/04G06N20/00G08B29/188

Abstract

Claims (58)

1 . A system for sensor data fusion for sensor management and utilization in robotics, comprising:

at least one computer processor including a memory;

at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;

at least one first position sensor operable to capture a first position measurement of a robotic component; and

at least one second position sensor operable to capture a second position measurement of the robotic component;

wherein the at least one computer processor is operable to analyze the first position measurement and the second position measurement;

wherein the at least one curation engine is operable to curate the first position measurement and the second position measurement, the at least one link engine is operable to link the first position measurement and the second position measurement, the at least one fusion engine is operable to fuse the first position measurement and the second position measurement, the at least one inference engine is operable to determine at least one inference from the first position measurement and the second position measurement, and the at least one validation engine is operable to validate the first position measurement and the second position measurement;

wherein the at least one link engine is operable to calculate a non-existent link, a weak link, or a strong link via calculating a conditional entropy between the first position measurement and the second position measurement;

wherein the at least one fusion engine is operable to fuse the first position measurement and the second position measurement based in part on the strong link, thereby creating fused data;

wherein the fused data includes at least one new data set;

wherein the at least one validation engine is operable to actively validate the fused data before the at least one computer processor permanently saves the fused data;

wherein the actively validating the fused data includes the at least one first position sensor capturing a third position measurement of the robotic component and the at least one second position sensor capturing a fourth position measurement of the robotic component;

wherein the at least one inference engine is operable to determine improperly wired sensors based in part on the at least one new data set; and

wherein the at least one computer processor is operable to instruct the robotic component to move based on the at least one new data set.

2 . The system of claim 1 , wherein the at least one link engine is operable to dynamically adjust a threshold for calculating the non-existent link, the weak link, or the strong link.

3 . The system of claim 1 , wherein the at least one fusion engine is operable to fuse at least one first position property and/or at least one first position sub-property and at least one second position property and/or at least one second position sub-property.

4 . The system of claim 3 , wherein the at least one first position property and/or the at least one first position sub-property is different than the at least one second position property and/or the at least one second position sub-property.

5 . The system of claim 1 , wherein the at least one fusion engine is operable to fuse the first position measurement and the second position measurement in real-time.

6 . The system of claim 1 , wherein the at least one new data set further includes a prediction about a future event.

7 . The system of claim 1 , wherein the at least one inference engine is operable to determine the at least one inference in real time.

8 . A method for sensor data fusion for sensor management and utilization in robotics, comprising:

providing at least one computer processor including a memory;

providing at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;

at least one first position sensor capturing a first position measurement of a robotic component;

at least one second position sensor capturing a second position measurement of the robotic component;

analyzing by the at least one computer processor the first position measurement and the second position measurement;

curating by the at least one curation engine the first position measurement and the second position measurement, linking by the at least one link engine the first position measurement and the second position measurement, fusing by the at least one fusion engine the first position measurement and the second position measurement, determining at least one inference by the at least one inference engine from the first position measurement and the second position measurement, and validating by the at least one validation engine the first position measurement and the second position measurement;

calculating by the at least one link engine a non-existent link, a weak link, or a strong link via calculating a conditional entropy between the first position measurement and the second position measurement;

fusing by the at least one fusion engine the first position measurement and the second position measurement based in part on the strong link, thereby creating fused data;

wherein the fused data includes at least one new data set;

wherein the at least one validation engine is operable to actively validate the fused data before the at least one computer processor permanently saves the fused data;

wherein the actively validating the fused data includes the at least one first position sensor capturing a third position measurement of the robotic component and the at least one second position sensor capturing a fourth position measurement of the robotic component;

determining by the at least one inference engine improperly wired sensors based in part on the at least one new data set; and

instructing by the at least one computer processor the robotic component to move based on the at least one new data set.

9 . The method of claim 8 , further comprising predicting a future event based in part on the fused data.

10 . The method of claim 8 , further comprising dynamically adjusting via the at least one link engine a threshold for calculating the non-existent link, the weak link, or the strong link.

11 . The method of claim 8 , wherein the at least one inference engine is operable to determine the at least one inference in real time.

12 . The method of claim 8 , further comprising fusing via the at least one fusion engine at least one first position property and/or at least one first position sub-property and at least one second position property and/or at least one second position sub-property.

13 . The method of claim 12 , wherein the at least one first position property and/or the at least one first sub-property is different than the at least one second position property and/or the at least one second position sub-property.

14 . The method of claim 8 , wherein fusing the first position measurement and the second position measurement occurs in real-time.

15 . A system for sensor data fusion for sensor management and utilization in robotics, comprising:

at least one computer processor including a memory;

at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine; and

at least two sensors, each of the at least two sensors operable to measure a first position of a robotic component and a second position of the robotic component;

wherein the at least one computer processor is operable to analyze the first position and the second position;

wherein the at least one curation engine is operable to curate the first position and the second position, the at least one link engine is operable to link the first position and the second position, the at least one fusion engine is operable to fuse the first position and the second position, the at least one inference engine is operable to determine at least one inference from the first position and the second position, and the at least one validation engine is operable to validate the first position and the second position;

wherein the at least one link engine is operable to iteratively calculate a non-existent link, a weak link, or a strong link via calculating a conditional entropy between the first position and the second position;

wherein the at least one fusion engine is operable to fuse the first position, the second position, at least one first position property and/or at least one first position sub-property, and at least one second position property and/or at least one second position sub-property based in part on the strong link thereby creating fused data;

wherein the fused data includes at least one new data set;

wherein the at least one validation engine is operable to actively validate the fused data before the at least one computer processor permanently saves the fused data;

wherein the actively validating the fused data includes the at least one first position sensor capturing a third position measurement of the robotic component and the at least one second position sensor capturing a fourth position measurement of the robotic component;

wherein the at least one inference engine is operable to determine improperly wired sensors based in part on the at least one new data set; and

wherein the at least one computer processor is operable to instruct the robotic component to move based on the at least one new data set.

16 . The system of claim 15 , wherein the at least one new data set further includes a prediction about a future event.

17 . The system of claim 15 , wherein the at least one inference engine is operable to determine the at least one inference in real time.

18 . The system of claim 15 , wherein the at least one fusion engine is operable to fuse the first position, the second position, the at least one first position property and/or the at least one first position sub-property, and the at least one second position property and/or the at least one second position sub-property in real-time.

19 . The system of claim 15 , wherein the at least one first position property and/or the at least one first position sub-property is the same as the at least one second position property and/or the at least one second position sub-property.

20 . The system of claim 15 , wherein the at least one first position property and/or the at least one first position sub-property is different than the at least one second position property and/or the at least one second position sub-property.

Assignments (1)

Continuity (4)

References Cited (181)