This paper describes a method of modeling swarms of UAVs and/or fighter aircraft using particle simulation concepts. Recent investigations into the use of genetic algorithms to design neural networks for the control of autonomous vehicles (i.e., robots) led to the examination of methods of simulating large collections of robots. This paper describes the successful implementation of a model of swarm dynamics using particle simulation concepts. Several examples of the complex behaviors achieved in a target/interceptor scenario are presented
This master thesis investigates the evolution of predator swarm intelligence in predator- prey relat...
This project aims to research on swarming algorithms for coordination of multiple UAVs. Based on the...
The control of the Unmanned Combat Air Vehicle\u27s swarm behavior is studied. One command string co...
Abstract- This article focuses on the use of Multi-Agent Systems for modelling of Micro-unmanned Aer...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
Potential function based swarm control is a technique using artificial potential functions to genera...
The usage of UAVs (Unmanned Aerial Vehicles) has been increasing in the last few years. One of the m...
A swarm is defined as a collection of autonomous individuals relying on local sensing and reactive b...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
This paper examines the use of neural networks to perform low-level control calculations within a la...
Automated drones recently have found themselves at the forefront of military warfare. Thanks to incr...
The future of aircrafts is in unmanned aerial vehicles (UAVs), and any improvement in UAVs will play...
AFIT/GCS/ENG/08-18 This investigation focuses primarily on the development of effective target en-ga...
The paper is aimed at simulations of a UAV swarm. The first part of the paper presents aUAV swarm ov...
Evolutionary swarm robotics uses evolutionary computational techniques to synthesise behaviours for ...
This master thesis investigates the evolution of predator swarm intelligence in predator- prey relat...
This project aims to research on swarming algorithms for coordination of multiple UAVs. Based on the...
The control of the Unmanned Combat Air Vehicle\u27s swarm behavior is studied. One command string co...
Abstract- This article focuses on the use of Multi-Agent Systems for modelling of Micro-unmanned Aer...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
Potential function based swarm control is a technique using artificial potential functions to genera...
The usage of UAVs (Unmanned Aerial Vehicles) has been increasing in the last few years. One of the m...
A swarm is defined as a collection of autonomous individuals relying on local sensing and reactive b...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
This paper examines the use of neural networks to perform low-level control calculations within a la...
Automated drones recently have found themselves at the forefront of military warfare. Thanks to incr...
The future of aircrafts is in unmanned aerial vehicles (UAVs), and any improvement in UAVs will play...
AFIT/GCS/ENG/08-18 This investigation focuses primarily on the development of effective target en-ga...
The paper is aimed at simulations of a UAV swarm. The first part of the paper presents aUAV swarm ov...
Evolutionary swarm robotics uses evolutionary computational techniques to synthesise behaviours for ...
This master thesis investigates the evolution of predator swarm intelligence in predator- prey relat...
This project aims to research on swarming algorithms for coordination of multiple UAVs. Based on the...
The control of the Unmanned Combat Air Vehicle\u27s swarm behavior is studied. One command string co...