AUTONOMOUS MACHINE SELECTIVE CONSULTATION

• US 20110295636A1
• Filed: 05/27/2010
• Published: 12/01/2011
• Est. Priority Date: 05/27/2010
• Status: Abandoned Application

• Current Assignee: Deere & Company
• Original Assignee: Deere & Company
• Inventors: Anderson, Noel Wayne
• Application Number:
  US12/788,995
• Publication Number:
  US 20110295636A1
• Time in Patent Office: Days
• US Class Current: 705/7.13
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group

Abstract

The different illustrative embodiments provide a system for selective consultation comprising a number of autonomous machines and a selective consultation system. The number of autonomous machines is configured to perform area coverage tasks in a worksite. The selective consultation system is configured to resolve issues encountered during operation of the number of autonomous machines in the worksite.

Claims

1. A method for selective consultation, the method comprising:

performing a number of tasks in a worksite using an autonomous machine;

identifying, by the autonomous machine, an issue that requires human intervention;

selecting a human to direct the issue to using an issue database;

transmitting the issue to the human selected; and

receiving a response from the human selected.

2. The method of claim 1 further comprising:

determining whether the response received is a resolution to the issue identified.

3. The method of claim 2 further comprising:

responsive to a determination that the response received is not the resolution, selecting a next human to direct the issue to using the issue database.

4. The method of claim 2 further comprising:

responsive to a determination that the response received is the resolution to the issue identified, applying the resolution to the issue identified.

5. The method of claim 1, wherein selecting the human further comprises:

identifying an issue class for the issue identified.

6. The method of claim 5, wherein selecting the human further comprises:

identifying a human assistant class associated with the issue class identified.

7. The method of claim 1, wherein selecting the human further comprises:

identifying an availability of an owner associated with the autonomous machine.

8. A system for selective consultation, the system comprising:

a number of autonomous machines configured to perform area coverage tasks in a worksite; and

a selective consultation system configured to resolve issues encountered during operation of the number of autonomous machines in the worksite.

9. The system of claim 8, wherein the selective consultation system identifies a number of issues that require human assistance within the worksite.

10. The system of claim 8, wherein the selective consultation system selects a human assistant from a number of human assistants to address the number of issues that require human assistance within the worksite.

11. The system of claim 10, wherein the number of human assistants are classified according to at least one of results of qualification testing, quality of issue resolution with similar issues in the past, degree of availability, bandwidth of connection between a particular human assistant and the number of autonomous machines, user interface available to the particular human assistant, and cost of issue resolution by the particular human assistant.

12. The system of claim 8, wherein the selective consultation system further comprises:

an issue identification process configured to determine whether a number of conditions exist that constitute an issue;

an assistance selection process configured to select a number of human assistants to address the issue; and

an issue resolution process configured to receive a resolution from the number of human assistants selected and apply the resolution to the issue.

13. The system of claim 8, wherein issues are decisions that the number of autonomous machines cannot make without assistance.

14. The system of claim 9, wherein the number of issues identified are classified into issue classes, and wherein each issue class in the issue classes includes a class definition.

15. The system of claim 10, wherein the selective consultation system accesses an owner schedule to determine whether an owner should be considered for consultation.