Long-Term Autonomy and Persistent Navigation in Spatiotemporally Dynamic Environments

Abstract

The goals of this project are to overcome the theoretical and technical challenges of developing a general prediction, control and planning framework for autonomous navigation and sampling of dynamic ocean features. The PI will make contributions to the areas of navigation, deliberation, prediction, and targeted sampling to extend autonomy in marine robotics. In pursuit of this goal, the objectives of this proposal are to develop the broad principles that enable autonomous aquatic vehicles to 1) improve navigation and localization for operation in dynamically evolving environments, 2) demonstrate the utility of prior information in planning and deliberation, 3) investigate human in-the-loop control strategies and the associated data analysis and transmission necessary, and 4) experimentally validate research outcomes through simulation, laboratory tests, and field trials.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 23, 2016
Source ID
N000141612634

Entities

People

  • Ryan Smith

Organizations

  • Fort Lewis College
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

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