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Related publications (24)

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Cooperative navigation in robotic swarms

Francesco Mondada, Stéphane Magnenat, Michael Bonani, Philippe Rétornaz

We study cooperative navigation for robotic swarms in the context of a general event-servicing scenario. In the scenario, one or more events need to be serviced at specific locations by robots with the required skills. We focus on the question of how the s ...

Springer Verlag2013

Bio-inspired and probabilistic algorithms for distributed odor source localization using mobile robots

Thomas Lochmatter

We compare six different algorithms for localizing odor sources with mobile robots. Three algorithms are bio-inspired and mimic the behavior of insects when exposed to airborne pheromones. Two algorithms are based on probability and information theory, and ...

EPFL2010

Teaching Physical Collaborative Tasks: Object-Lifting Case Study with a Humanoid

Aude Billard, Sylvain Calinon, Elena Gribovskaya

This paper presents the application of a statistical framework that allows to endow a humanoid robot with the ability to perform a collaborative manipulation task with a human operator. We investigate to what extent the dynamics of the motion and the hapti ...

IEEE2009

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli

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 in an automated fashion. In multi-robot ...

2007