Foundations for Autonomously Interacting Swarm Transformations: NISE Final Report
Abstract
In nature and robotics, autonomous swarms consist of mobile agents with limited dynamics and simple rules, which collaborate to produceemergent large-scale coherent behaviors. Such coherence is dynamic and arises in the form of stable and adaptive spatio-temporal patterns thatself-organize. Examples of such robotic swarm dynamics for defense applications include autonomous radar jamming, targeting, tracking, andsurveillance. Autonomous swarm behaviors depend on many factors ranging from communication strength to noise, latency, network topology,and the presence of opposing agents - all of which can be used to control and disrupt the intent of a swarm. A central and open problem in swarmtheory involves examining the conditions in which swarms achieve stable self-organizing behavior, as well as how external and internal forcesdestabilize swarm dynamics. Such forces may come from changes in communication topology, attraction and repulsive forces, as well multipleinteracting swarms, whereby one swarm can change the behavior of an-other.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 07, 2021
- Accession Number
- AD1120865
Entities
People
- Ira B. Schwartz
- Jason Hindes
- Victoria Edwards
Organizations
- United States Naval Research Laboratory