In this paper, we study self-organized flocking in a swarm of behaviorally heterogeneous mobile robots: aligning and non-aligning robots. Aligning robots are capable of agreeing on a common heading direction with other neighboring aligning robots. Conversely, non-aligning robots lack this capability. Studying this type of heterogeneity in self-organized flocking is important as it can support t...

We developed a virtual laboratory for traffic control where agents use different strategies in order to self-organize on the road. We present our first results where we compare the performance and behaviour promoted by environmental constrains and five different simple strategies: three inspired in flocking behaviour, one selfish, and one inspired in the minority game. Experiments are presented...

Without assuming that the communication topology can remain its connectivity frequently enough and the potential function can provide an infinite force during the evolution of agents, the flocking problem of multi-agent systems with secondorder non-linear dynamics is investigated in this study. By combining the ideas of collective potential functions and velocity consensus, a connectivity-prese...

Birds, bees, and fish often flock together in groups to find the source of food (target) based on local information. Inspired by this natural phenomenon, flocking control algorithms are designed to coordinate the activities of multiple agents in cluttered and noisy environments, respectively. First, to allow agents to track and observe the target better in cluttered environments, two new approa...

This paper proposes an entropy based target tracking approach for mobile sensor networks. The proposed tracking algorithm runs a target state estimation stage and a motion control stage alternatively. A distributed particle filter is developed to estimate the target position in the first stage. This distributed particle filter does not require to transmit the weighted particles from one sensor ...

We consider a hydrodynamic model of flocking-type with all-to-all interaction kernel in one-space dimension and establish global existence entropy weak solutions concentration to the Cauchy problem for any [Formula: see text] initial data that has finite total mass confined bounded interval density uniformly positive therein. In addition, under suitable condition on data, we show admit time-asy...

In this paper we aim to discuss adaptive flocking control of multiple Unmanned Ground Vehicles (UGVs) by using an Unmanned Aerial Vehicle (UAV). We utilize a Quadrotor to provide the positions of all agents and also to manage the shrinking or expanding of the agents with respect to the environmental changes. The proposed method adaptively causes changing in the sensing range of the ground robot...