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Patch models and their applications to multivehicle command and control.

Venkatesh G Rao1, Raffaello D'Andrea

  • 1Xerox Wilson Center for Research and Technology, Webster, NY 14580, USA.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|June 7, 2007
PubMed
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Patch models offer a new computational framework for multivehicle combat, enabling autonomous systems to manage complex vehicle dynamics and adapt mission plans rapidly. This approach enhances shared situation awareness in network-centric command and control systems.

Area of Science:

  • Computational modeling
  • Artificial intelligence
  • Autonomous systems

Background:

  • Existing computational models struggle with complex vehicle dynamics in multivehicle combat.
  • Next-generation network-centric command and control systems require enhanced situation awareness.

Purpose of the Study:

  • Introduce patch models, a novel computational modeling formalism for multivehicle combat domains.
  • Provide a framework supporting nontrivial controlled vehicle dynamics and AI integration.
  • Enable key design requirements for network-centric command and control systems.

Main Methods:

  • Utilized spatiotemporal abstraction methods from computer science.
  • Developed a formal specification for patch models.
  • Created a prototype implementation named Patchworks.

Related Experiment Videos

  • Validated through combat mission simulation.

    • Main Results:

    • Patch models accommodate complex vehicle dynamics within AI capabilities.
    • The framework supports multiple situation models and rapid mission plan adaptation.
    • Simulation demonstrated effective defense strategies in a multivehicle combat scenario.

    Conclusions:

    • Patch models provide an expressive and capable formalism for multivehicle combat modeling.
    • The approach facilitates the development of advanced autonomous systems for command and control.
    • Patchworks serves as a validated platform for simulating and testing these models.