Large-Scale Multi-Robot Search

Abstract

Approved for Public ReleaseWe propose to address fundamental challenges in multi-vehicle mine-hunting, change detection,and similarrobotic search applications. We seek advances in distributed inference and controlthat enable a heterogeneous team of vehicles to rapidly and collaboratively conduct subsea searchmissions over a large area. We will investigate the use of spatially-continuous representations ofthe environment (e.g., clutter density, expected communication performance, etc) for which wecan consider new approaches to multi-agent control, and that admit sparse low-dimensional representations.Due to the extremely low bandwidth communication channel available underwater,sparse representations of the environment are necessary for distributed inference among a team ofagents, and for novel approaches to change detection over larger areas.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 12, 2023
Source ID
N000142312345

Entities

People

  • Daniel J. Stilwell

Organizations

  • Office of Naval Research
  • United States Navy
  • Virginia Tech

Tags

Fields of Study

  • Computer science

Readers

  • Acoustical Oceanography.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control