Long-Term Underwater Autonomy

Abstract

The aim of this program is to increase the impact and use of autonomous platforms and roboticsby the US Navy and DoD by developing new capabilities for long-term autonomy and supervisorycontrol of underwater robots operating under uncertainty. The objectives are to significantly advancethe state of the art in intelligent underwater robots operating in highly complex environmentsperforming surveillance, inspection, and maintenance tasks that rely on effective robot perceptionand manipulation capabilities both with and without a human diver present in the operating area.To achieve our objectives, we will develop algorithms for learning manipulation of underwaterobjects that can adapt to new situations and conditions from experience, self-adaptation, and interactions.Communication between the vehicle and human supervisors is particularly challengingdue the low bandwidths available with underwater communication. To close the loop with humans,a novel user interface will be developed with amodel of the system that provides human supervisorswith relevant information as appropriate for the scenario and predicted behavior of the system.The UI will be built to engender appropriate trust to avoid over-reliance or underutilization.The proposed work is to develop technology for both military and civil application.Approved for Public Release

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 11, 2023
Source ID
N000142312794

Entities

People

  • Stefanie Tellex

Organizations

  • Brown University
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction