This paper is concerned with the problem of multi-UAV roundup inspired by hierarchical
cognition consistency learning based on an interaction mechanism. First, a dynamic …

We consider a routing problem that arises in Persistent Intelligence Surveillance
Reconnaissance missions, and pose it as a multiple depot traveling salesman problem, with …

In this paper, we address multi-robot target monitoring and patrolling tasks via distributed
feedback optimization. In particular, we design a distributed policy to steer a network of peer …

We design a distributed feedback optimization strategy, embedded into a modular ROS 2
control architecture, which allows a team of heterogeneous robots to cooperatively monitor …

This paper presents a distributed algorithm for circle formation problem under the infinite
grid environment by asynchronous mobile opaque robots. Initially all the robots are …

[eng] One of the main problems to be addressed in a multi-robot system is the selection of
the best robot, or group of them, to carry out a specific task. Among the large number of …

Swarm robotic is a field of multi-robotics in which the robot's behavior is inspired from nature.
With rapid development in the field of the multi-robotics and the lack of efficacy in traditional …

The characterization of the viscoelastic response of polymers and soft tissue is significant in
several areas like biomedical engineering and material processing. Computational …

In the present study, a novel optimization method in formation control of multi-system
vehicles based on the trajectory of the nearest neighbor trajectory is presented. In this …

Unmanned aerial vehicles (UAVs), or drones, are aircraft which do not require an onboard
human pilot during flight. However, rotary-wing UAVs are more popular, owing to vertical …