Multi-Layer Model of Swarm Intelligence for Resilient Autonomous Systems
Abstract
The objective of the this project is to develop a distributed multi-layer autonomous UAS planning and control technology for gathering intelligence in Anti-Access Area Denial (A2/AD) environments populated by intelligent adaptive adversaries. These resilient autonomous systems are able to navigate through hostile environments while collecting intelligence and minimizing the loss of assets. Our approach incorporates artificial life concepts, with the high-level architecture divided into three biologically inspired meta-layers: cyber-physical, reactive, and deliberative. The key concepts of our approach are: A layered architecture of intelligence on a spectrum from reactive to deliberative; the use of artificial life algorithms providing robust, complex behavior from a set of simple rules; communication of information between agents via observation; the use of a genetic algorithm (GA) to assist the team in selecting and adapting the best solutions for each layer. This distributed cooperative system of intelligent assets will provide adaptable, scalable performance to accomplish mission goals in challenging environments.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2019
- Accession Number
- AD1074379
Entities
People
- Jake Neighbors
- Jayson Clifford
- Massood Towhidnejad
- Ramin Rashedi
Organizations
- Embry–Riddle Aeronautical University