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Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks

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Modelling and Optimizing the Process of Learning Mathematics

This paper introduces a computer-based training program for enhancing numerical cognition aimed at children with developmental dyscalculia. Through modelling cognitive processes and controlling the level of their stimulation, the system optimizes the learn ...

Springer2012

The goal of this paper is to study the learning abilities of adaptive networks in the context of cognitive radio networks and to investigate how well they assist in allocating power and communications resources in the frequency domain. The allocation mecha ...

2011

Honeybee swarming behavior using diffusion adaptation

Ali H. Sayed

Honeybees swarm when they move to a new site for their hive. During the process of swarming, their behavior can be analyzed by classifying them as informed scouts or uninformed bees, where the scouts have information about the destination while the uninfor ...

IEEE2011

Modeling Self-Assembly Across Scales: The Unifying Perspective of Smart Minimal Particles

Alcherio Martinoli, Massimo Mastrangeli, Grégory Mermoud

A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous functional systems. At the same time, a large body of robotic research called swarm ...

2011

Dealing with Mid-Air Collisions in Dense Collective Aerial Systems

Dario Floreano, Jean-Christophe Zufferey, Severin Leven

The idea of creating collective aerial systems is appealing because several rather simple flying vehicles could join forces to cover a large area in little time in applications such as monitoring, mapping, search and rescue, or airborne communication relay ...

John Wiley & Sons2011

Mobile phone-induced honeybee worker piping

The worldwide maintenance of the honeybee has major ecological, economic, and political implications. In the present study, electromagnetic waves originating from mobile phones were tested for potential effects on honeybee behavior. Mobile phone handsets w ...

Springer-Verlag2011

Distributed Scalable Multi-Robot Learning using Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using online learning techniques which allow robots to generate their own controllers online in an automated fash- ion. In multi- ...

2009

Distributed Adaptation in Multi-Robot Search using Particle Swarm Optimization

Alcherio Martinoli, James Pugh

We present an adaptive strategy for a group of robots engaged in the localization of multiple targets. The robotic search algorithm is inspired by chemotaxis behavior in bacteria, and the algorithmic parameters are updated using a distributed implementatio ...

2008

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Swarming without positioning information is interesting in application- oriented systems because it alleviates the need for sensors which are dependent on the environment, expensive in terms of energy, cost, size and weight, or unusable at useful ranges fo ...

2008

Communication in a Swarm of Miniature Robots: The e-Puck as an Educational Tool for Swarm Robotics

Alcherio Martinoli, James Pugh, Christopher Cianci, Xavier Raemy

Swarm intelligence, and swarm robotics in particular, are reaching a point where leveraging the potential of communication within an artificial systempromises to uncover newand varied directions for interesting research without compromising the key propert ...

2007