Dario Floreano

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Publications associées (291)

Fly-inspired Visual Steering of an Ultralight Indoor Aircraft

Jean-Christophe Zufferey, Dario Floreano

We aim at developing autonomous micro-flyers capable of navigating within houses or small indoor environments using vision as principal source of information. Due to severe weight and energy constraints, inspiration is taken from the fly for the selection ...

2006

Omnidirectional Active Vision for Evolutionary Car Driving

Dario Floreano, Mototaka Suzuki, Jacob Van der Blij

We describe a set of simulations to evolve omnidirectional active vision, an artificial retina scanning over images taken via an omnidirectional camera, being applied to a car driving task. While the retina can immediately access features in any direction, ...

2006

Evolutionary Active Vision Toward Three Dimensional Landmark-Navigation

Dario Floreano, Mototaka Suzuki

Active vision may be useful to perform landmark-based navigation where landmark relationship requires active scanning of the environment. In this article we explore this hypothesis by evolving the neural system controlling vision and behavior of a mobile r ...

2006

Constraints on Body Movement during Visual Development Affect Behavior of Evolutionary Robots

Dario Floreano, Mototaka Suzuki

We explore the role of active body movement in the developmental process of the visual system. Receptive fields of an evolved mobile robot are developed during active or passive movement with the generalized Hebbian algorithm (Sanger, 1989). In accordance ...

2005

Toward 30-gram Autonomous Indoor Aircraft: Vision-based Obstacle Avoidance and Altitude Control

Jean-Christophe Zufferey, Dario Floreano

We aim at developing autonomous micro-flyers capable of navigating within houses or small built environments. The severe weight and energy constraints of indoor flying platforms led us to take inspiration from flying insects for the selection of sensors, s ...

2005

From Wheels to Wings with Evolutionary Spiking Neurons

Jean-Christophe Zufferey, Jean-Daniel Nicoud, Dario Floreano

We give an overview of the EPFL indoor flying project, whose goal is to evolve neural controllers for autonomous, adaptive, indoor micro-flyers. Indoor flight is still a challenge because it requires miniaturization, energy efficiency, and control of non-l ...

2005

The Contribution of Active Body Movement to Visual Development in Evolutionary Robots

Dario Floreano, Mototaka Suzuki

Inspired by the pioneering work by Held and Hein (1963) on the development of kitten visuo-motor systems, we explore the role of active body movement in the developmental process of the visual system by using robots. The receptive fields in an evolved mobi ...

2005

Superlinear Physical Performances in a SWARM-BOT

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

A swarm-bot is a robotic entity built of several autonomous mobile robots (called s-bots) physically connected together. This form of collective robotics exploits robot interactions both at the behavioral and physical levels. The goal of this paper is to a ...

2005

Active Vision and Receptive Field Development in Evolutionary Robots

Dario Floreano, Claudio Mattiussi, Mototaka Suzuki

In this paper, we describe the artificial evolution of adaptive neural controllers for an outdoor mobile robot equipped with a mobile camera. The robot can dynamically select the gazing direction by moving the body and/or the camera. The neural control sys ...

2005

Co-evolution of Structures and Controllers for Neubot Underwater Modular Robots

Dario Floreano, Auke Ijspeert

This article presents the first results of a project in underwater modular robotics, called Neubots. The goals of the projects are to explore, following Von Neumann’s ideas, potential mechanisms underlying self-organization and self-replication. We briefly ...

Springer Verlag2005

Coevolution of active vision and feature selection

Dario Floreano, Eric Sauser, Toshifumi Kato, Davide Marocco

We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a coevolutionary process of active vision and feature selection. Behavioral m ...

2004

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