Adaptive data analytics service

• US 10,817,308 B2
• Filed: 06/11/2018
• Issued: 10/27/2020
• Est. Priority Date: 01/05/2015
• Status: Active Grant

• Current Assignee: Digital Dream Labs, LLC
• Original Assignee: Digital Dream Labs, LLC
• Inventors: DeNeale, Patrick, Eliaz, Tom
• Primary Examiner(s): Chen, Xuxing
• Application Number:
  US16/005,355
• Publication Number:
  US 20180357077A1
• Time in Patent Office: 869 Days
• CPC Class Codes: G06F 11/3024 where the computing system component is a central processing unit [CPU]
• CPC Class Codes: G06F 11/3428 Benchmarking
• CPC Class Codes: G06F 11/3447 Performance evaluation by modeling
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 9/44505 Configuring for program initiating, e.g. using registry, configuration files
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/08 Learning methods

Abstract

A closed-loop service, referred to as an Adaptive Data Analytics Service (ADAS), characterizes the performance of a system or systems by providing information describing how users or agents are operating the system, how the system components interact, and how these respond to external influences and factors. The ADAS then builds models and/or defines relationships that can be used to optimize performance and/or to predict the results of changes made to the system(s). Subsequently, this learning provides the basis for administering, maintaining, and/or adjusting the system(s) under study. Measurement can be ongoing, even after the operating parameters or controls of a system under the administration or monitoring of the ADAS have been adjusted, so that the impact of such adjustments can be determined. This recursive process of observation, analysis, and adjustment provides a closed-loop system that affords adaptability to changing operating conditions and facilitates self-regulation and self-adjustment of systems.

Claims

1. A system comprising:

an adaptive analytics system comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations to remotely control actions of one or more robots, the operations comprising;

determining, by the adaptive analytics system, that a first value of an operational attribute recorded by a first robot at a first location in a first environment is outside a benchmark range of values determined from values recorded by the one or more robots for the operational attribute; and

in response to determining that the first value of the operational attribute recorded by the first robot is outside the benchmark range of values, providing, by the adaptive analytics system to a particular robot selected from the one or more robots, one or more generated commands that when executed by the particular robot cause the particular robot to navigate toward the first location in the first environment and to record a subsequent value of the operational attribute; and

one or more robots, each robot comprising one or more subsystems that are each configured to effect a physical movement of the robot, one or more processors, and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the robot to perform operations comprising;

receiving, by a robot from an adaptive analytics system, the one or more generated commands; and

executing the one or more generated commands to perform operations comprising;

navigating toward the first location in the first environment of the first robot at which the first value of the operational attribute was recorded,

recording a subsequent value of the operational attribute, and

providing, by the robot to the adaptive analytics system, the recorded subsequent value of the operational attribute.

2. The system of claim 1, wherein the operations further comprise scheduling, by the adaptive analytics system, a time for the robot to navigate toward the first location in the first environment of the first robot and to record the subsequent value for the operational attribute, and wherein the one or more generated commands cause the robot to navigate toward the first location in the first environment of the first robot at the scheduled time.

3. The system of claim 2, wherein scheduling a time for the robot to navigate toward the first location comprises scheduling the navigation and recording to be performed during a current task being performed by the robot.

4. The system of claim 2, wherein scheduling a time for the robot to navigate toward the first location comprises scheduling the navigation and recording to be performed after a current task being performed by the robot.

5. The system of claim 1, wherein the operations further comprise determining, by the adaptive analytics system, that the recorded subsequent value of the operational attribute is outside the benchmark range of values for the operational attribute.

6. The system of claim 5, wherein the operations further comprise providing, by the adaptive analytics system, a notification to a user that the first and subsequent values of the operational attribute recorded in the first location in the first environment are outside the benchmark range of values for the operational attribute.

7. The system of claim 1, wherein the one or more robots are vehicles.

8. The system of claim 1, wherein the one or more robots are autonomous.

9. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations to remotely control actions of one or more robots, the operations comprising:

determining, by an adaptive analytics system comprising one or more computers, that a first value of an operational attribute recorded by a first robot is outside a benchmark range of values determined from values recorded by the one or more robots for the operational attribute;

in response to determining that the first value of the operational attribute recorded by the first robot is outside the benchmark range of values, providing, by the adaptive analytics system to a particular robot selected from the one or more robots, one or more generated commands that when executed by the particular robot cause the particular robot to perform operations comprising;

receiving, by the particular robot from the adaptive analytics system, the one or more generated commands;

executing the one or more generated commands to perform operations comprising;

navigating toward the first location in the first environment of the first robot at which the first value of the operational attribute was recorded,

recording a subsequent value of the operational attribute, and

providing, by the particular robot to the adaptive analytics system, the recorded subsequent value of the operational attribute.

10. The computer program product of claim 9, wherein the operations further comprise scheduling, by the adaptive analytics system, a time for the robot to navigate toward the first location in the first environment of the first robot and to record the subsequent value for the operational attribute, and wherein the one or more generated commands cause the robot to navigate toward the first location in the first environment of the first robot at the scheduled time.

11. The computer program product of claim 10, wherein scheduling a time for the robot to navigate toward the first location comprises scheduling the navigation and recording to be performed during a current task being performed by the robot.

12. The computer program product of claim 10, wherein scheduling a time for the robot to navigate toward the first location comprises scheduling the navigation and recording to be performed after a current task being performed by the robot.

13. The computer program product of claim 9, wherein the operations further comprise determining, by the adaptive analytics system, that the recorded subsequent value of the operational attribute is outside the benchmark range of values for the operational attribute.

14. The computer program product of claim 13, wherein the operations further comprise providing, by the adaptive analytics system, a notification to a user that the first and subsequent values of the operational attribute recorded in the first location in the first environment are outside the benchmark range of values for the operational attribute.

15. The computer program product of claim 9, wherein the one or more robots are vehicles.

16. The computer program product of claim 9, wherein the one or more robots are autonomous.

17. A method performed by a robot comprising one or more subsystems that are each configured to effect a physical movement of the robot, the method comprising:

receiving, by the robot from an adaptive analytics system, one or more generated commands that represent a request by the adaptive analytics system to navigate toward a first location in a first environment of a first robot and to record a subsequent value of an operational attribute for which the first robot recorded a first value that was outside a benchmark range of values determined from values recorded by one or more robots for the operational attribute;

executing the one or more generated commands to perform operations comprising;

navigating toward the first location in the first environment of the first robot at which the first value of the operational attribute was recorded,

recording a subsequent value of the operational attribute, and

providing, by the robot to the adaptive analytics system, the recorded subsequent value of the operational attribute.

18. The method of claim 17, wherein the one or more robots are vehicles.

19. The method of claim 17, wherein the one or more robots are autonomous.