[HTML][HTML] Network resilience

X Liu, D Li, M Ma, BK Szymanski, HE Stanley, J Gao - Physics Reports, 2022 - Elsevier
Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …

The Best-of-n Problem in Robot Swarms: Formalization, State of the Art, and Novel Perspectives

G Valentini, E Ferrante, M Dorigo - Frontiers in Robotics and AI, 2017 - frontiersin.org
The ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …

An improved swarm model with informed agents to prevent swarm-splitting

B Xu, G Bai, T Liu, Y Fang, Y Zhang, J Tao - Chaos, Solitons & Fractals, 2023 - Elsevier
The spatial aggregation of a large number of individuals and the coordination of individual
behavior within the group are the two core characteristics of swarm behavior. Swarm …

Influence of the number of topologically interacting neighbors on swarm dynamics

Y Shang, R Bouffanais - Scientific reports, 2014 - nature.com
Recent empirical and theoretical works on collective behaviors based on a topological
interaction are beginning to offer some explanations as for the physical reasons behind the …

Optimal network topology for responsive collective behavior

D Mateo, N Horsevad, V Hassani, M Chamanbaz… - Science …, 2019 - science.org
Animals, humans, and multi-robot systems operate in dynamic environments, where the
ability to respond to changing circumstances is paramount. An effective collective response …

Swarm-enabling technology for multi-robot systems

M Chamanbaz, D Mateo, BM Zoss, G Tokić… - Frontiers in Robotics …, 2017 - frontiersin.org
Swarm robotics has experienced a rapid expansion in recent years, primarily fueled by
specialized multi-robot systems developed to achieve dedicated collective actions. These …

Transparency: Transitioning from human–machine systems to human-swarm systems

KA Roundtree, MA Goodrich… - Journal of Cognitive …, 2019 - journals.sagepub.com
Swarm robotic systems are gaining in interest with the prospect of their use for various
applications, including monitoring, tracking, infrastructure support, and protection. Prior …

Distributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies

BM Zoss, D Mateo, YK Kuan, G Tokić, M Chamanbaz… - Autonomous …, 2018 - Springer
The design, construction, and testing of a large distributed system of novel, small, low-cost,
autonomous surface vehicles in the form of self-propelled buoys capable of operating in …

Entropy and Fractal Techniques for Monitoring Fish Behaviour and Welfare in Aquacultural Precision Fish Farming—A Review

H Eguiraun, I Martinez - Entropy, 2023 - mdpi.com
In a non-linear system, such as a biological system, the change of the output (eg, behaviour)
is not proportional to the change of the input (eg, exposure to stressors). In addition …

Effect of correlations in swarms on collective response

D Mateo, YK Kuan, R Bouffanais - Scientific reports, 2017 - nature.com
Social interaction increases significantly the performance of a wide range of cooperative
systems. However, evidence that natural swarms limit the number of interactions suggests …