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Dario Floreano

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Publications associées (291)

Online Extreme Evolutionary Learning Machines

Dario Floreano, Joshua Evan Auerbach

Recently, the notion that the brain is fundamentally a prediction machine has gained traction within the cognitive science community. Consequently, the ability to learn accurate predictors from experience is crucial to creating intelligent robots. However, ...

The MIT Press2014

Robotics and Neuroscience

Dario Floreano, Auke Ijspeert

In the attempt to build adaptive and intelligent machines, roboticists have looked at neuroscience for more than half a century as a source of inspiration for perception and control. More recently, neuroscientists have resorted to robots for testing hypoth ...

Elsevier2014

Viability Principles for Constrained Optimization Using a (1+1)-CMA-ES

Dario Floreano, Andrea Maesani

Viability Evolution is an abstraction of artificial evolution which operates by eliminating candidate solutions that do not satisfy viability criteria. Viability criteria are defined as boundaries on the values of objectives and constraints of the problem ...

Springer International Publishing2014

Miniature artificial compound eyes for optic-flow-based robotic navigation

Dario Floreano, Ramon Pericet Camara, Julien Jean Denis Nicolas Lecoeur, Gerard Bahi Vila

Miniature curved artificial compound eyes (CURVACE) represent a promising tool to assist in navigation of mobile robots. In particular, they feature ideal properties for minidrones to navigate safely in indoor environments due to its panoramic field of vie ...

IEEE2014

Selection methods regulate evolution of cooperation in digital evolution

Dario Floreano, Laurent Keller, Pawel Lichocki

A key, yet often neglected, component of digital evolution and evolutionary models is the 'selection method' which assigns fitness (number of offspring) to individuals based on their performance scores (efficiency in performing tasks). Here, we study with ...

Royal Soc2014

Audio-based Localization for Swarms of Micro Air Vehicles

Dario Floreano, Meysam Basiri, Felix Stephan Schill

Localization is one of the key challenges that needs to be considered beforehand to design truly autonomous MAV teams. In this paper, we present a cooperative method to address the localization problem for a team of MAVs, where individuals obtain their pos ...

2014

Soft Cells for Programmable Self-Assembly of Robotic Modules

Dario Floreano, Jürg Markus Germann, Andrea Maesani, Ramon Pericet Camara

Programmable self-assembly of chained robotic systems holds potential for the automatic construction of complex robots from a minimal set of building blocks. However, current robotic platforms are limited to modules of uniform rigidity, which results in a ...

2014

Method to determine a direction and amplitude of a current velocity estimate of a moving device

Jean-Christophe Zufferey, Dario Floreano, Adrien Briod

A new method for the estimation of ego-motion (the direction and amplitude of the velocity) of a mobile device comprising optic-flow and inertial sensors (hereinafter the apparatus). The velocity is expressed in the apparatus's reference frame, which is mo ...

2014

Artificial Evolution by Viability Rather Than Competition

Dario Floreano, Andrea Maesani, Pradeep Ruben Fernando

Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve difficult problems for which analytical approaches are not suitable. In many domains experimenters are not only interested in discovering optimal solutions, but ...

Public Library of Science2014

RoboGen: Robot Generation through Artificial Evolution

Dario Floreano, Ludovic Daler, Andrea Maesani, Titus Cieslewski, Pradeep Ruben Fernando, Grégoire Hilaire Marie Heitz, Przemyslaw Mariusz Kornatowski, Ilya Loshchilov, Joshua Evan Auerbach, Deniz Aydin

Science instructors from a wide range of disciplines agree that hands-on laboratory components of courses are pedagogically necessary (Freedman, 1997). However, certain shortcomings of current laboratory exercises have been pointed out by several authors ( ...

The MIT Press2014

A Collision Resilient Flying Robot

Jean-Christophe Zufferey, Dario Floreano, Adrien Briod, Przemyslaw Mariusz Kornatowski

Flying robots that can locomote efficiently in GPS-denied cluttered environments have many applications, such as in search and rescue scenarios. However, dealing with the high amount of obstacles inherent to such environments is a major challenge for flyin ...

John Wiley & Sons2014

Programmable Self-assembly with Chained Soft Cells: An Algorithm to Fold into 2-D Shapes

Dario Floreano, Jürg Markus Germann, Joshua Evan Auerbach

Programmable self-assembly of chained modules holds potential for the automatic shape formation of morphologically adapted robots. However, current systems are limited to modules of uniform rigidity, which restricts the range of obtainable morphologies and ...

Springer International Publishing2014

Euler Spring Collision Protection for Flying Robots

Jean-Christophe Zufferey, Dario Floreano, Adrien Briod, Adam Klaptocz, Ludovic Daler

This paper addresses the problem of adequately protecting flying robots from damage resulting from collisions that may occur when exploring constrained and cluttered environments. A method for designing protective structures to meet the specific constraint ...

2013

Testbed for Fast-Deployable Flying WiFi Networks

Jean-Christophe Zufferey, Dario Floreano, Bixio Rimoldi, Alberto Jimenez Pacheco, Grégoire Hilaire Marie Heitz, Stefano Rosati, Karol Jacek Kruzelecki

EPFL's Information Processing Group (IPG) and Laboratory for Intelligent Systems (LIS), in conjunction with SenseFly (a LIS spin-off) recently started a project aimed at developing a testbed to experiment with self-organized wireless networks carried by au ...

2013

Soft Cell Simulator: A tool to study Soft Multi-Cellular Robots

Dario Floreano, Manuel Stöckli, Jürg Markus Germann, Andrea Maesani

Modular or multi-cellular robots hold the promise to adapt their morphology to task and environment. However, research in modular robotics has traditionally been limited to mechanically non-adaptive systems due to hard building blocks and rigid connection ...

2013

Beat-based synchronization and steering for groups of fixed-wing flying robots

Jean-Christophe Zufferey, Dario Floreano, Sabine Hauert, Severin Leven

Groups of fixed-wing robots can benefit from moving in synchrony to share sensing and communication capabilities, avoid collisions or produce visually pleasing choreographies. For this reason, we provide a strategy to produce global group movement that can ...

2013

A Flying Robot with Adaptive Morphology for Multi-Modal Locomotion

Dario Floreano, Ludovic Daler, Patrizia Bernadette Hählen, Julien Jean Denis Nicolas Lecoeur

Most existing robots are designed to exploit only one single locomotion mode, such as rolling, walking, flying, swimming, or jumping, which limits their flexibility and adaptability to different environments where specific and different locomotion capabili ...

2013

Variable stiffness material based on rigid low-melting-point-alloy-microstructures embedded in soft poly(dimethylsiloxane) (PDMS)

Dario Floreano, Bryan Edward Schubert

Materials with controllable stiffness are of great interest to many fields, including medicine and robotics. In this paper we develop a new type of variable stiffness material based on the combination of a rigid low-melting-point-alloy (LMPA) microstructur ...

RSC Publishing2013

Contact-based navigation for an autonomous flying robot

Jean-Christophe Zufferey, Dario Floreano, Adrien Briod, Adam Klaptocz, Arnaud Garnier, Marco Pagnamenta, Przemyslaw Mariusz Kornatowski

Autonomous navigation in obstacle-dense indoor environments is very challenging for flying robots due to the high risk of collisions, which may lead to mechanical damage of the platform and eventual failure of the mission. While conventional approaches in ...

2013

Hyper-flexible 1-D shape sensor

Dario Floreano, Michal Karol Dobrzynski, Ramon Pericet Camara, Géraud L'Eplattenier, Stéphanie Lacour

Here we describe a sensor capable of perceiving complex one-dimensional (1-D) shape of an underlying substrate in a static and dynamic manner. The sensor consists of seven, serially connected, hyper-flexible strain gauges, manufactured using stretchable-go ...

2013

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