Application of bio-inspired sensing, perception and control technology to uxv autonomous missions

Joseph A. Jackson, David D. Diel, Jovan D. Boskovic, Stephen C. Pratt, Daniel Charbonneau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Biological swarms utilize simple behaviors spread over many agents to protect and promote the health of the colony. Recent interest in distributing tasks across swarms of autonomous agents has exposed the complexity of communications, task assignment, distributed sensing, and mission replanning for large teams of robotic agents. In this paper, we describe the approach we have taken to characterize and model the individual and collaborative behaviors used by Temnothorax rugatulus ants amid competitive nest selection scenarios. This species of ants exhibit favorable characteristics self-organizing without need for centralized planning, control, or communication. This work focuses on learning behavior rules from these ants to help design responses to swarm-based combat operations. This research effort consisted of three main parts: data generation, behavior characterization, and machine learning for UAV applications.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-30
Number of pages30
ISBN (Print)9781624106095
StatePublished - 2021
Externally publishedYes
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period1/11/211/15/21

ASJC Scopus subject areas

  • Aerospace Engineering

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