Revision: New Microprocessor Architectures and Their Impact on Underwater Autonomous Vehicle Design
Abstract
Creating truly autonomous networks of self-learning Underwater Autonomous Vehicles (UAV) will require new approaches to onboard comp,utation, network communications, and network design. We will continue our exploration of how advances in microprocessors, software,,and materials will affect capabilities for autonomous, networked operations, as well as how they will present new challenges for sof,tware design. As the pace of change in these technologies continues to accelerate, our efforts will help enable the Navy to achieve,and maintain technological superiority capabilities essential to the naval autonomous vehicle mission. Specifically, we will continu,e to study and engage industry partners, participate in industry conferences, and prototype and evaluate new microprocessor architec,tures. These efforts will allow us to advance hardware domain knowledge and lab bench trials for rapid environmental characterizatio,n applications and algorithms for both UAVs and Autonomous Surface Vessels (ASV) system components. Furthermore, continued efforts,to understand potential capabilities are applicable to a wide range of ocean sensing platforms, applications and algorithms.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 10, 2021
- Source ID
- N000142212022
Entities
People
- Mark Abbott
Organizations
- Office of Naval Research
- United States Navy
- Woods Hole Oceanographic Institution