This paper describes ongoing work on a system to animate and render large flocks of furry or woolly animals. An outside agent, the sheepdog, tries to control another group of agents (a flock of sheep) that observe two rules of flocking: cohesion and separation. We also describe our efforts to create realistic animations for the dog and sheep, using insights from animal gait studies, along with ...

We introduce a model for self-organized dynamics which, we argue, addresses several drawbacks of the celebrated Cucker-Smale (C-S) model. The proposed model does not only take into account the distance between agents, but instead, the influence between agents is scaled in term of their relative distance. Consequently, our model does not involve any explicit dependence on the number of agents; o...

We study the emergent dynamics for the hydrodynamic Cucker-Smale (C-S) system arising in the modeling of flocking dynamics in interacting many-body systems. Specifically, the initial value problem with a moving domain is considered to investigate the global existence and time-asymptotic behavior of classical solutions, provided that the initial mass density has bounded support and the initial d...

We present a new stochastic particle system on networks which describes the flocking behavior and pattern formation. More precisely, we consider Cucker-Smale particles with decentralized formation control multiplicative noises symmetric connected networks. Under suitable assumptions initial configurations network structure, establish time-asymptotic of solutions for proposed system. Our approac...

This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAVs) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-UAV collision under temporal wind dynamics, the proposed algorithm minimizes each UAV’s energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velo...

The motion of a group of nonholonomic mobile agents is synchronized using local control laws. This synchronization strategy is inspired by the early flocking model proposed by Reynolds [23] and following work [30, 9]. The control laws presented ensure that all agent headings and speeds converge asymptotically to the same value and collisions between the agents are avoided. The stability of this...

A new algorithm for the control of robot flocking is presented. Flocks of mobile robots are created by the use of local control rules in a fully distributed way, using just local information from simple infra-red sensors and global heading information on each robot. Experiments were done to test the algorithm, yielding results in which robots behaved as expected, moving at a reasonable velocity...

The collective behavior system depends strongly on the efficiency of communication paths, in other words, network topology. Network connectivity affects the properties of networked agents. Synchronous behavior is also affected by the network structure. A consensus problem is also related to the problem of synchronization. A consensus algorithm is an interaction rule that specifies the informati...