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Competitive Co-Evolutionary Robotics: From Theory to Practice

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A realistic benchmark for visual indoor place recognition

Barbara Caputo

An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate local specific services. Recent advances in vision have made this modality a via ...

2010

The evolution of communication in robot societies

Sara Mitri

Communication is fundamental to life on earth. All social organisms, from bacteria to humans, use communicative signals to coordinate their behaviors with members of their own and other species. Despite its key role in social organization, many questions r ...

EPFL2009

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

Segregation in swarms of mobile robots based on the Brazil nut effect

Francesco Mondada, Stéphane Magnenat, Roderich Gross

We study a simple algorithm inspired by the Brazil nut effect for achieving segregation in a swarm of mobile robots. The algorithm lets each robot mimic a particle of a certain size and broadcast this information locally. The motion of each particle is con ...

IEEE Computer Society Press2009

An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers online in an automated fashion. In mult ...

Springer2008

Containment Control in Mobile Networks

Giancarlo Ferrari Trecate

In this paper, the problem of driving a collection of mobile robots to a given target destination is studied. In particular, we are interested in achieving this transfer in an orderly manner so as to ensure that the agents remain in the convex polytope spa ...

2008

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

2007

Odor Source Localization with Mobile Robots

Alcherio Martinoli, Thomas Lochmatter, Xavier Raemy

Because of their excellent olfactory sense, dogs are often used to find bombs, mines, drugs, or people buried by avalanches. For such applications, autonomous mobile robots could be used in the future. Electronic sensors already exist for a wide variety of ...

2007

Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Iterative Closest Point

Roland Siegwart

In this paper, we present a stereovision algorithm for real-time 6DoF ego-motion estimation, which integrates normalized cross-correlation-based feature tracking and 3D stereo information in the well-known Iterative Closest Point (ICP) scheme. The proposed ...

2006

Towards a Cognitive Probabilistic Representation of Space for Mobile Robots

Roland Siegwart

Robots are rapidly evolving from factory workhorses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret and represent the environment in an efficient and consistent fashion, in a ...

2006