Agile Robust Autonomy: Inspired by Connecting Natural Flight and Biological Sensors

Abstract

The goal of research conducted under work unit W0PY was to understand insect flight for purposes of improving agility, autonomy, robustness, and integrated sensing and processing of unmanned aerial vehicles. This goal was approached using a comparative methodology in order to understand general principles of insect flight across diverse species; understand environmental variables that impact natural flight of insects; understand how insects can recover from flight perturbations; and understand the connection between flight, sensor capability, neural processing, and muscular control.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2017
Accession Number
AD1037496

Entities

People

  • Jennifer Talley

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Animals
  • Autonomy
  • Cameras
  • Control Systems
  • Detectors
  • Government Procurement
  • Governments
  • High Speed Cameras
  • Materials
  • Measurement
  • Odonates
  • Simulations
  • Trajectories
  • Vehicles

Readers

  • Aerodynamics/Aeronautics.
  • Aquatic Ecology
  • Systems Analysis and Design

Technology Areas

  • Autonomy