Autonomy Testbed for Heterogenous UxV Teams

Abstract

A network of small, agile unmanned vehicles (UxVs), modular sensors, and computing resources are proposed to build a multi-agent aut,onomy testbed. The system will have a common framework for mission retasking, communications, and sense-and-react behaviors at both, the individual and team level, allowing heterogenous platforms to work together. This small-scale network is designed to be a repr,esentative analogue for naval-relevant applications and science objectives. The network is designed to accelerate technological and, behavioral advances by providing a rapid test environment with portable systems that can be relocated to different operating enviro,nments. In addition to UxV research opportunities for autonomy and environmental sensing, the platforms will be used to advance und,ergraduate and graduate educational opportunities in algorithm development, sensor integration, and data science. Training the next, generation of scientists and engineers through hands-on research experience using innovative curricula is critical to future Navy o,utcomes. This abstract is publicly releasable.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 06, 2022
Source ID
N000142212806

Entities

People

  • Sophia Merrifield

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Research Science/Academic Research
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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