Using the concept inspired by the social insects, researchers have been studying the applications of swarming UAVs. The idea is to use a group of low-cost simple UAVS to conduct certain missions with robustness and cost effectiveness. This research studies the use of a swarm of UAVs to survey an area. The focus is on finding the optimal combination of number of UAVs and their initial positions. Genetic Algorithm is used to search for the better solution sets
ABSTRACT We present a Genetic Programming approach to evolve cooperative controllers for teams of UA...
Abstract—This paper proposes swarm intelligence based approach for the real time coordination of gro...
This paper presents a 3D flocking algorithm for a team of unmanned aerial vehicles (UAVs), where eac...
This paper focuses on the problem of coordinating multiple UAVs for distributed targets detection an...
This paper outlines the theoretical approach and simulation methods for a robust cooperative control...
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...
Unmanned aerial vehicle (UAV) quadrotors have developed rapidly and continue to advance together wit...
This paper uses a behavioral hierarchy approach to reduce the mission solution space and make the mi...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
For some tasks, the use of more than one robot may improve the speed, reliability, or flexibility of...
Potential function based swarm control is a technique using artificial potential functions to genera...
This research employs ecological interface design to improve the human machine interface of an exist...
UAVs have rapidly become prevalent in applications related to surveillance, military operations, and...
This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (U...
ABSTRACT We present a Genetic Programming approach to evolve cooperative controllers for teams of UA...
Abstract—This paper proposes swarm intelligence based approach for the real time coordination of gro...
This paper presents a 3D flocking algorithm for a team of unmanned aerial vehicles (UAVs), where eac...
This paper focuses on the problem of coordinating multiple UAVs for distributed targets detection an...
This paper outlines the theoretical approach and simulation methods for a robust cooperative control...
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...
Unmanned aerial vehicle (UAV) quadrotors have developed rapidly and continue to advance together wit...
This paper uses a behavioral hierarchy approach to reduce the mission solution space and make the mi...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
For some tasks, the use of more than one robot may improve the speed, reliability, or flexibility of...
Potential function based swarm control is a technique using artificial potential functions to genera...
This research employs ecological interface design to improve the human machine interface of an exist...
UAVs have rapidly become prevalent in applications related to surveillance, military operations, and...
This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (U...
ABSTRACT We present a Genetic Programming approach to evolve cooperative controllers for teams of UA...
Abstract—This paper proposes swarm intelligence based approach for the real time coordination of gro...
This paper presents a 3D flocking algorithm for a team of unmanned aerial vehicles (UAVs), where eac...