An integrated swarm intelligence simulation for resilient autonomous systems

Jayson Clifford; Jake Neighbors; Massood Towhidnejad

doi:10.1117/12.2306919

9 May 2018 An integrated swarm intelligence simulation for resilient autonomous systems

Jayson Clifford, Jake Neighbors, Massood Towhidnejad

Proceedings Volume 10652, Disruptive Technologies in Information Sciences; 1065212 (2018) https://doi.org/10.1117/12.2306919
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Embry-Riddle Aeronautical University is working on an ongoing project, Resilient Autonomous Systems (RAS), supported by the Air Force Research Lab (AFRL). The objective of this project is to develop autonomous vehicle command and control (C2) technologies that demonstrate increased resilience in Anti-Access Area Denial (A2/AD) environments. Current automated solutions that offer little autonomous re-planning capability can be inflexible in handling dynamic scenarios in these environments. In this case, increased resiliency is defined as the ability of the system to better operate at or above an acceptable level of performance even in unfavorable environments, such as when encountering intelligent adversaries using Electronic Warfare (EW) and Integrated Air Defenses (IAD). The ERAU team has outlined a number of scenarios that set two teams, red and blue, against each other in a shared simulated environment. In general, the objectives for each team are as follows: The blue team assets must navigate through hostile enemy environments, collecting intelligence and reporting back to base, while minimizing the losses. The red team assets must minimize the loss of intelligence to the blue team while maximizing blue team expenditure in fuel and assets. Scenarios range from an area of 25 km2 with 10 agents on each team, to 4000 km2 and >300 agents on each team.

Conference Presentation

Citation Download Citation

Jayson Clifford, Jake Neighbors, and Massood Towhidnejad "An integrated swarm intelligence simulation for resilient autonomous systems", Proc. SPIE 10652, Disruptive Technologies in Information Sciences, 1065212 (9 May 2018); https://doi.org/10.1117/12.2306919

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available