Methods and Systems for An Autonomous Robotic Platform

• US 20130103195A1
• Filed: 11/20/2012
• Published: 04/25/2013
• Est. Priority Date: 12/28/2006
• Status: Active Grant

• Current Assignee: Leidos, Inc. (Leidos Holdings, Inc.)
• Original Assignee: Science Applications International Corporation
• Inventors: Anhalt, David, Gremban, Keith D.
• Granted Patent: US 8,682,485 B2
• Time in Patent Office: Days
• US Class Current: 700/248
• CPC Class Codes: B25J 11/002 Manipulators for defensive or military tasks
• CPC Class Codes: B25J 9/163 learning, adaptive, model based, rule based expert control
• CPC Class Codes: F41H 7/005 Unmanned ground vehicles, i.e. robotic, remote controlled or autonomous, mobile platforms carrying equipment for performing a military or police role, e.g. weapon systems or reconnaissance sensors F41H11/16 takes precedence
• 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: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

A system and method can provide a command and control paradigm for integrating robotic assets into human teams. By integrating sensor to detect human interaction, movement, physiology, and location, a net-centric system can permit command of a robotic platform without an OCU. By eliminating the OCU and maintaining the advantages of a robotic platform, a robot can be used in the place of a human without fatigue, being immune to physiological effects, capable of non-humanoid tactics, a longer potential of hours per day on-station, capable of rapid and structured information transfer, has a personality-free response, can operate in contaminated areas, and is line-replaceable with identical responses. A system for controlling a robotic platform can comprise at least one perceiver for collecting information from a human or the environment; a reasoner for processing the information from the at least one perceiver and providing a directive; and at least one behavior for executing the directive of the reasoner.

Claims

1. A method for controlling a robotic platform, the method comprising:

receiving, from a plurality of team member sensors, team member information;

receiving, from a team sensor, team information;

receiving, from an environment sensor, environment information;

determining a cognitive state model of one or more team members;

determining a cognitive state model of the team; and

determining, based on the cognitive state models and the environment information, an action for the robotic platform.

2. The method of claim 1, wherein the team member information is selected from the group consisting of position, heart rate, blood pressure, motion and weapon status.

3. The method of claim 1, wherein the environment information is selected from the group consisting of terrain information, obstacle detection information and target information.

4. The method of claim 3, wherein the terrain information includes a terrain map.

5. The method of claim 3, wherein the target information includes target identification and target location information.

6. The method of claim 1, wherein the team information includes one or more of the group consisting of team formation, change of team formation, team tactics, team weapon status and team techniques and procedures.

7. The method of claim 1, wherein the determining of the action is further based on one or more of pre-stored databases of tactics, techniques, and procedures (“

TTP”

).

8. The method of claim 1, wherein the determined action is selected from the group consisting of stopping, unguarded motion, guarded motion, protecting the team and hiding.

9. The method of claim 1, further comprising executing the determined action.

10. The method of claim 9, further comprising receiving feedback based on the executed action.

11. A robotic platform comprising:

a perceiver for;

receiving team member information from a plurality of team members within a team;

receiving team information from the team;

receiving environment information; and

a reasoner in communication with the perceiver for;

building a cognitive state model of one or more of the plurality of team members;

building a cognitive state model of the team; and

determining, based on the cognitive state models and environment information, an action for the robotic platform.

12. The robotic platform of claim 11, wherein the team member information is selected from the group consisting of position, heart rate, blood pressure, motion and weapon status.

13. The robotic platform of claim 11, wherein the environment information is selected from the group consisting of terrain information, obstacle detection information and target information.

14. The robotic platform of claim 13, wherein the terrain information includes a terrain map.

15. The robotic platform of claim 13, wherein the target information includes target identification and target location information.

16. The robotic platform of claim 11, wherein the team information includes one or more of the group consisting of team formation, change of team formation, team tactics, team weapon status and team techniques and procedures.

17. The robotic platform of claim 11, wherein said determining of the action is further based on one or more of pre-stored databases of tactics, techniques, and procedures (“

TTP”

).

18. The robotic platform of claim 11, wherein the determined action is selected from the group consisting of stopping, unguarded motion, guarded motion, protecting the team and hiding.

19. The robotic platform of claim 11, further comprising executing the determined action.

20. The robotic platform of claim 19, further comprising receiving feedback based on the executed action.