Systems, methods and computer program products for collaborative agent control
| DWPI Title: Method for controlling unmanned autonomous vehicle, remote sensor and personnel tracker during mission, involves performing collaborative target identification and localization process for fusing sensor data from two or multiple unmanned autonomous vehicles to identify and locate target |
| Abstract: Systems, methods and unmanned agents for collaboratively controlling agents in a collaborative network by one or more agents continuously simulating numeric models of one or more other agents in the network to dramatically reduce the computational bandwidth required between agents, and improve the quality of shared estimates of the agent locations as well as the locations and characteristics of other objects of interest, e.g. targets. Bandwidth is reduced by using the models to intelligently filter data before communicating. |
| Use: Method for controlling an unmanned autonomous vehicle system, a remote sensor and a personnel tracker (claimed) during mission. Uses include but are not limited to a visual and/or infrared (IR) camera, a chemical and/or biological detector, a radiation detector, a three-dimensional imaging system, a seismic sensor, an acoustic sensor, a radar, a range finder and a temperature or pressure sensor. |
| Advantage: The method enables reducing communication bandwidth required to maintain a selected quality for increasing improving state estimates quality through collaborative data fusion operation. The method enables automatically generating sub-tasks or executing collaborative task. The method enables dramatically reducing computational bandwidth required between agents. |
| Novelty: The method involves executing a dynamic mission model that outputs a mission parameter set of an unmanned autonomous vehicle. The dynamic mission model is continuously simulated by the unmanned autonomous vehicle in a mission. Mission operation control of the unmanned autonomous vehicle is changed based on an output or mission parameter, where the dynamic mission model is provided with a model-based bandwidth efficient communications protocol. Collaborative target identification and localization process is performed for fusing sensor data from two or multiple unmanned autonomous vehicles to identify and locate a target. |
| Filed: 3/1/2017 |
| Application Number: US15446772A |
| Tech ID: SD 13490.1 |
| This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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