Battle Management Algorithms for Autonomous Unmanned Systems (BMAAUS)

Abstract

Autonomous agents are self-directed, independent entities that interact with an environment by in-taking percepts through sensing devices and by acting on the environment through effectors. This work centers on autonomous entities in an adversarial environment that operate with conflicting goals, process noisy data, adapt in real-time to a dynamic environment, and collaborate to achieve one or more collective goals. In this proposed work, the domain of application is robotic soccer. Ultimately, we expect the research to apply to work in Unmanned Air Vehicles (UAV). The work performed in this project relates to the implementation of autonomous agents.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2003
Accession Number
ADA421313

Entities

People

  • Jennifer Seitzer

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Battle Management
  • Computer Programs
  • Computer Science
  • Computers
  • Environment
  • Information Systems
  • Load Monitoring
  • Multiagent Systems
  • Operating Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Vehicles

Fields of Study

  • Computer science

Readers

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Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control