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Electroencephalography as implicit communication channel for proximal interaction between humans and robot swarms

Publications associées (57)

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Multi-Robot Learning with Particle Swarm Optimization

Alcherio Martinoli, James Pugh

We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the learning technique for a simple task is compared across robot groups of various ...

2006

Safety in Numbers: Fault Tolerance in Robot Swarms

The swarm intelligence literature frequently asserts that swarms exhibit high levels of robustness. That claim is, however, rather less frequently supported by empirical or theoretical analysis. But what do we mean by a 'robust' swarm? How would we measure ...

2006

Physical connections and cooperation in swarm robotics

Dario Floreano, Francesco Mondada, André Guignard, Michael Bonani, Stéphane Magnenat

We describe a new multi-robot system, named SWARM-BOTS, that exploits physical inter-connections to solve tasks that are impossible for a single robot. This is for instance the case of passing large gaps or high steps in all-terrain conditions. In order to ...

2004

Evolving a cooperative transport behavior for two simple robots

Roderich Gross

This paper addresses the problem of cooperative transport of an object by a group of two simple autonomous mobile robots called s-bots. S-bots are able to establish physical connections between each other and with an object called the prey. The environment ...

Springer Verlag2004

Diversity and Specialization in Collaborative Swarm Systems

Alcherio Martinoli

This paper addresses qualitative and quantitative diversity and specialization issues in the frame- work of self-organizing, distributed, artificial systems. Both diversity and specialization are obtained via distributed learning from initially homogeneous ...

2003

Feature-based multi-hypothesis localization and tracking using geometric constraints

Roland Siegwart, Kai Oliver Arras

Mobile robot localization deals with uncertain sensory information as well as uncertain data association. In this paper we present a probabilistic feature-based approach to global localization and pose tracking which explicitly addresses both problems. Loc ...

2003

Conception de structures neuronales pour le contrôle de robots mobiles autonomes

Francesco Mondada

There is a large number of possible applications in the field of mobile robotics: Mail delivery robots, domestic or industrial vacuum cleaners, surveillance robots, demining robots and many others could be very interesting products. Despite this potential ...

EPFL1997