Abstract—This paper proposes swarm intelligence based approach for the real time coordination of groups of UAVs (Unmanned Aerial Vehicles) in tasks where values that are sensed from the aerial platform can be used to qualify the individuals. In particular, as an example application, here we consider environmental monitoring UAV teams. Their function is to monitor an area and when some undesired environmental condition arises, coordinate themselves to find the source as fast as possible. The swarm based algorithm has been extensively tested using a 3D simulation platform and validated with real UAVs flying over an industrial area
This master’s thesis developed an operational coordination controller for enabling sensor-based cove...
Using the concept inspired by the social insects, researchers have been studying the applications of...
In many monitoring and mapping applications, high-resolution data are required only in certain areas...
This paper focuses on the problem of coordinating multiple UAVs for distributed targets detection an...
This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (U...
The usage of UAVs (Unmanned Aerial Vehicles) has been increasing in the last few years. One of the m...
Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at a...
With recent and ongoing improvements to unmanned aerial vehicle (UAV) endurance and availability, th...
This paper presents a 3D flocking algorithm for a team of unmanned aerial vehicles (UAVs), where eac...
Several of our technological breakthroughs are influenced by types of behavior and structures develo...
Flocking and swarming are inspired by nature. Swarming formation involves a large number of agents o...
This study explores the capability of an Unmanned Aircraft System (UAS) swarm to locate and survey a...
Swarm intelligence is a form of artificial intelligence that is inspired by behavior exhibited by so...
This paper proposes a novel search method for a swarm of quadcopter drones. In the proposed method, ...
A swarm is defined as a collection of autonomous individuals relying on local sensing and reactive b...
This master’s thesis developed an operational coordination controller for enabling sensor-based cove...
Using the concept inspired by the social insects, researchers have been studying the applications of...
In many monitoring and mapping applications, high-resolution data are required only in certain areas...
This paper focuses on the problem of coordinating multiple UAVs for distributed targets detection an...
This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (U...
The usage of UAVs (Unmanned Aerial Vehicles) has been increasing in the last few years. One of the m...
Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at a...
With recent and ongoing improvements to unmanned aerial vehicle (UAV) endurance and availability, th...
This paper presents a 3D flocking algorithm for a team of unmanned aerial vehicles (UAVs), where eac...
Several of our technological breakthroughs are influenced by types of behavior and structures develo...
Flocking and swarming are inspired by nature. Swarming formation involves a large number of agents o...
This study explores the capability of an Unmanned Aircraft System (UAS) swarm to locate and survey a...
Swarm intelligence is a form of artificial intelligence that is inspired by behavior exhibited by so...
This paper proposes a novel search method for a swarm of quadcopter drones. In the proposed method, ...
A swarm is defined as a collection of autonomous individuals relying on local sensing and reactive b...
This master’s thesis developed an operational coordination controller for enabling sensor-based cove...
Using the concept inspired by the social insects, researchers have been studying the applications of...
In many monitoring and mapping applications, high-resolution data are required only in certain areas...