In this paper we describe a low-end and easy to implement flocking algorithm which was developed for very simple swarm robots and which works without communication, memory or global information. By adapting traditional flocking algorithms and eliminating the need for communication, we created an algorithm with emergent flocking properties. We analyse its potential of aggregating an initially sc...

We study a one-dimensional lattice flocking model incorporating all three of the flocking criteria proposed by Reynolds [Computer Graphics 21, 4 (1987)]: alignment, centering, and separation. The model generalizes that introduced by O. J. O'Loan and M. R. Evans [J. Phys. A. 32, L99 (1999)]. We motivate the dynamical rules by microscopic sampling considerations. The model exhibits various flocki...

The present study evaluated the possible effects of exposure to polypropylene flock on respiratory health and serum cytokines in a cross-sectional study of workers from a plant in Turkey. A total of 50 polypropylene flocking workers were compared to a control group of 45 subjects. All subjects filled out a respiratory questionnaire and underwent a physical examination, a chest radiograph and pu...

Most of researches for conventional simulations were studied focusing on flocks with a single species. While there exist the flocking behaviors with a single species in nature, the flocking behaviors are frequently observed with multi-species. This paper studies on the flocking simulation for heterogeneous agents. In order to simulate the flocks for heterogeneous agents, the conventional method...

In this paper we consider rigid formation control systems modelled by double integrators (including formation stabilization systems and flocking control systems), with a focus on their robustness property in the presence of distance mismatch. By introducing additional state variables we show the augmented double-integrator distance error system is self-contained, and we prove the exponential st...

Flocking is a fascinating collective behavior exhibited by many different animals including birds and fish. As understood by biologists, the overall flocking behavior emerges from relatively simple local control rules by which each individual adjusts its own trajectory based on those of its closest neighbors. We consider the possibility of adding a small set of influencing agents, that are unde...

Swarm behavior suggests simple methodologies used by agents of swarm to solve complex problems, which using the other optimsation algorithms such as Genetic Algorithms may not be possible to solve. The basic reason behind this is the group behavior in these algorithms. The distributed control mechanism and simple interactive rules can manage the swarm efficiently and effectively. Flocking behav...

Flocking starlings at dusk are known for the mesmerizing and intricate shapes they generate, as well as how fluid these shapes change. They seem to do this effortlessly. Real-life vision-based flocking has not been achieved in micro-UAVs (micro Unmanned Aerial Vehicles) to date. Towards this goal, we make three contributions in this paper: (i) we used a computational approach to develop a bio-i...

Flocking motions have been the subject of hundreds of studies over the past six decades. The vast majority of models have nearly identical aims: bottom-up demonstration of basic emergent flocking motions. Despite a significant fraction of the literature providing algorithmic descriptions of models, incompleteness and imprecision are also readily identifiable in flocking algorithms, algorithmic ...