UNMANNED MARITIME VEHICLE WITH INFERENCE ENGINE AND KNOWLEDGE BASE AND RELATED METHODS

• US 20130282210A1
• Filed: 04/24/2012
• Published: 10/24/2013
• Est. Priority Date: 04/24/2012
• Status: Abandoned Application

• Current Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: KOLAR, Ray, MEHARG, Patrick
• Application Number:
  US13/454,762
• Publication Number:
  US 20130282210A1
• Time in Patent Office: Days
• US Class Current: 701/21
• CPC Class Codes: B63G 8/001 Underwater vessels adapted for special purposes, e.g. unmanned underwater vessels; Equipment specially adapted therefor, e.g. docking stations self-propelled or direction controlled diving chambers with mechanical link to a base B63C11/42
• CPC Class Codes: B63H 25/04 automatic, e.g. reacting to compass
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G05D 1/0206 specially adapted to water vehicles

Abstract

An unmanned maritime vehicle includes a hull, a propulsion system carried by the hull, vehicle sensors carried by the hull, a wireless transceiver carried by the hull, and a controller coupled to the wireless transceiver, the vehicle sensors, and the propulsion system. The controller is configured to implement an inference engine and a knowledge base to define an expert system generating a recommended water navigational action based upon a set of water navigational rules and inputs from the vehicle sensors.

Claims

1. An unmanned maritime vehicle comprising:

a hull;

a propulsion system carried by said hull;

a plurality of vehicle sensors carried by said hull;

a wireless transceiver carried by said hull; and

a controller coupled to said wireless transceiver, said plurality of vehicle sensors, and said propulsion system;

said controller configured to implement an inference engine and a knowledge base to define an expert system generating a recommended water navigational action based upon a set of water navigational rules and inputs from said plurality of vehicle sensors.

2. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to generate the recommended water navigational action by matching at least one water navigational rule from the set thereof to the inputs from said plurality of vehicle sensors.

3. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to match a plurality of water navigational rules to the inputs of said plurality of vehicle sensors, and resolve conflicts among the matching plurality of water navigational rules to provide the recommended navigational action.

4. The unmanned maritime vehicle of claim 3 wherein each water navigational rule includes a respective priority value;

and wherein said controller is configured to implement the expert system to resolve the conflicts among the matching plurality of water navigational rules based upon the respective priority values thereof.

5. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to generate a recommended communication action;

and wherein said wireless transceiver is configured to perform the recommend communication action.

6. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to generate the recommended water navigational action based upon a set of task specific rules.

7. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to generate the recommended water navigational action based upon a set of user generated experience rules.

8. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to generate the recommended water navigational action based upon the set of water navigational rules comprising rules based upon International Regulations for Preventing Collisions at Sea 1972 (COLREGS).

9. The unmanned maritime vehicle of claim 1 wherein said controller is configured to implement the expert system to receive the inputs from said plurality of vehicle sensors comprising current and past vehicle sensor data values.

10. The unmanned maritime vehicle of claim 1 wherein said plurality of vehicle sensors comprises at least one of a set of situational awareness sensors.

11. The unmanned maritime vehicle of claim 1 wherein said wireless transceiver is configured to communicate with a command center.

12. An unmanned maritime vehicle comprising:

a hull;

a propulsion system carried by said hull;

a plurality of vehicle sensors carried by said hull;

a wireless transceiver carried by said hull and configured to communicate with a command center; and

a controller coupled to said wireless transceiver, said plurality of vehicle sensors, and said propulsion system;

said controller configured to implement an inference engine and a knowledge base to define an expert system for matching at least one water navigational rule from a set thereof to inputs from said plurality of vehicle sensors, and generating a recommended water navigational action based upon the matching at least one water navigational rule, the set of water navigational rules comprising rules based upon International Regulations for Preventing Collisions at Sea 1972 (COLREGS).

13. The unmanned maritime vehicle of claim 12 wherein said controller is configured to implement the expert system to match a plurality of water navigational rules to the inputs of said plurality of vehicle sensors, and resolve conflicts among the matching plurality of water navigational rules to provide the recommended navigational action.

14. The unmanned maritime vehicle of claim 13 wherein each water navigational rule includes a respective priority value;

and wherein said controller is configured to implement the expert system to resolve the conflicts among the matching plurality of water navigational rules based upon the respective priority values thereof.

15. The unmanned maritime vehicle of claim 12 wherein said controller is configured to implement the expert system to generate a recommended communication action;

and wherein said wireless transceiver is configured to perform the recommend communication action.

16. The unmanned maritime vehicle of claim 12 wherein said controller is configured to implement the expert system to generate the recommended water navigational action based upon a set of task specific rules.

17. The unmanned maritime vehicle of claim 12 wherein said controller is configured to implement the expert system to generate the recommended water navigational action based upon a set of user generated experience rules.

18. A control unit for an unmanned maritime vehicle comprising a hull, a propulsion system carried by the hull, a plurality of vehicle sensors carried by the hull, and a wireless transceiver carried by the hull, the control unit comprising:

a processor and memory associated therewith and being configured to implement an inference engine and a knowledge base to define an expert system generating a recommended water navigational action based upon a set of water navigational rules and inputs from the plurality of vehicle sensors.

19. The control unit of claim 18 wherein said processor and memory are configured to implement the expert system to generate the recommended water navigational action by matching at least one water navigational rule from the set thereof to the inputs from said plurality of vehicle sensors.

20. The control unit of claim 18 wherein said processor and memory are configured to implement the expert system to match a plurality of water navigational rules to the inputs of said plurality of vehicle sensors, and resolve conflicts among the matching plurality of water navigational rules to provide the recommended navigational action.

21. The control unit of claim 20 wherein each water navigational rule includes a respective priority value;

and wherein said processor and memory are configured to implement the expert system to resolve the conflicts among the matching plurality of water navigational rules based upon the respective priority values thereof.

22. A method for operating an unmanned maritime vehicle comprising a hull, a propulsion system carried by the hull, a plurality of vehicle sensors carried by the hull, and a wireless transceiver carried by the hull, the method comprising:

implementing an inference engine and a knowledge base to define an expert system generating a recommended water navigational action based upon a set of water navigational rules and inputs from the plurality of vehicle sensors.

23. The method of claim 22 further comprising generating the recommended water navigational action with the expert system by matching at least one water navigational rule from the set thereof to the inputs from the plurality of vehicle sensors.

24. The method of claim 22 further comprising matching with the expert system a plurality of water navigational rules to the inputs of the plurality of vehicle sensors, and resolving conflicts among the matching plurality of water navigational rules to provide the recommended navigational action.

25. The method of claim 24 wherein each water navigational rule includes a respective priority value;

and further comprising resolving with the expert system the conflicts among the matching plurality of water navigational rules based upon the respective priority values thereof.

26. The method of claim 22 further comprising generating with the expert system a recommended communication action, and performing the recommend communication action with the wireless transceiver.

27. The method of claim 22 further comprising generating with the expert system the recommended water navigational action based upon a set of task specific rules.

28. The method of claim 22 further comprising generating with the expert system the recommended water navigational action based upon a set of user generated experience rules.

29. The method of claim 22 further comprising receiving with the expert system the inputs from the plurality of vehicle sensors comprising current and past vehicle sensor data values.