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Dario Floreano

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Related publications (291)

Enhancing Pilot Performance with a SymBodic System

Daniel Thalmann, Dario Floreano, Walter Karlen, Sylvain Cardin

Increased fatigue of pilots during long flights can place both humans and machine at high risk. In this paper, we describe our research on a SymBodic (SYMbiotic BODies) system designed to minimize pilot fatigue in a simulated 48 hour mission. The system de ...

IEEE Engineering in Medicine and Biology Society2010

Autonomous flight at low altitude using light sensors and little computational power

Jean-Christophe Zufferey, Dario Floreano, Antoine Beyeler

The ability to fly at low altitude while actively avoiding collisions with the terrain and objects such as trees and buildings is a great challenge for small unmanned aircraft. This paper builds on top of a control strategy called optiPilot whereby a serie ...

2010

Energy Efficient Swarm Deployment for Search in Unknown Environments

Dario Floreano, Timothy Stirling

This paper introduces three strategies to deploy a swarm of robots in unknown environments for a search task, aiming to reduce the total swarm energy cost with rapid operation for applications such as disaster mitigation. We are motivated by current resear ...

Springer-Verlag2010

Autonomous flight at low altitude with vision-based collision avoidance and GPS-based path following

Jean-Christophe Zufferey, Dario Floreano, Antoine Beyeler

The ability to fly at low altitude while actively avoiding collisions with the terrain and other objects is a great challenge for small unmanned aircraft. This paper builds on top of a control strategy called optiPilot whereby a series of optic-flow detect ...

IEEE2010

Genetic representation and evolvability of modular neural controllers

Dario Floreano, Claudio Mattiussi, Peter Dürr

The manual design of con- trol systems for robotic devices can be challenging. Methods for the automatic synthesis of control systems, such as the evolution of artificial neural networks, are thus widely used in the robotics community. However, in many rob ...

Institute of Electrical and Electronics Engineers2010

Communication-based Swarming for Flying Robots

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

We aim at implementing a swarm of Micro-Air-Vehicles for creating communication networks (SMAVNETs) in disaster areas. For this purpose, we propose strategies for steering flying robots using only communication hardware (e.g. WiFi module or radio modem) an ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

A Perching Mechanism for Micro Aerial Vehicles

Dario Floreano, Roland Siegwart, Mirko Kovac, Jürg Markus Germann

Micro Aerial Vehicles (MAVs) with perching capabilities can be used to efficiently place sensors in aloft locations. A major challenge for perching is to build a lightweight mechanism that can be easily mounted on a MAV, allowing it to perch (attach and de ...

2010

Adaptive Sleep-Wake Discrimination for Wearable Devices

Dario Floreano, Walter Karlen

Sleep/wake classification systems that rely on phys- iological signals suffer from inter-subject differences that make accurate classification with a single, subject-independent model difficult. To overcome the limitations of inter-subject variability we s ...

Institute of Electrical and Electronics Engineers2010

Communication-based Leashing of Real Flying Robots

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

Aerial robots are often required to remain within the communication range of a base station on the ground to exchange commands, sensor data or as a safety mechanism. For this purpose, we propose a minimal control strategy for steering flying robots using o ...

2010

An Indoor Flying Platform with Collision Robustness and Self-Recovery

Jean-Christophe Zufferey, Dario Floreano, Adrien Briod, Adam Klaptocz, Grégoire Boutinard Rouelle

This paper presents a new paradigm in the design of indoor flying robots that replaces collision avoidance with collision robustness. Indoor flying robots must operate within constrained and cluttered environments where even nature’s most sophisticated fly ...

IEEE2010

Replaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks

Dario Floreano, Daniel Marbach, Claudio Mattiussi

In this paper, we suggest a new approach for reverse engineering gene regulatory networks, which consists of using a reconstruction process that is similar to the evolutionary process that created these networks. The aim is to integrate prior knowledge int ...

Blackwell Publishing, 9600 Garsington Rd, Oxford Ox4 2Dq, Oxen, England2009

The Evolution of Information Suppression in Communicating Robots with Conflicting Interests

Dario Floreano, Laurent Keller, Sara Mitri

Reliable information is a crucial factor influencing decision-making, and thus fitness in all animals. A common source of information comes from inadvertent cues produced by the behavior of conspecifics. Here we use a system of experimental evolution with ...

National Academy of Sciences2009

Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods

Dario Floreano, Daniel Marbach, Claudio Mattiussi, Thomas Schaffter

Reverse engineering methods are typically first tested on simulated data from in silico networks, for systematic and efficient performance assessment, before an application to real biological networks. In this paper we present a method for generating biolo ...

2009

Reverse-engineering of Artificially Evolved Controllers for Swarms of Robots

Jean-Christophe Zufferey, Dario Floreano, Sabine Hauert

It is generally challenging to design decentralized controllers for swarms of robots because there is often no obvious relation between the individual robot behaviors and the final behavior of the swarm. As a solution, we use artificial evolution to automa ...

2009

Vision-based control of near-obstacle flight

Jean-Christophe Zufferey, Dario Floreano, Antoine Beyeler

This paper presents a novel control strategy, which we call optiPilot, for autonomous flight in the vicinity of obstacles. Most existing autopilots rely on a complete 6-degree-of-freedom state estimation using a GPS and an Inertial Measurement Unit (IMU) a ...

2009

Sleep and Wake Classification With ECG and Respiratory Effort Signals

Dario Floreano, Walter Karlen, Claudio Mattiussi

We describe a method for the online classification of sleep/wake states based on cardiorespiratory signals produced by wearable sensors. The method was conceived in view of its applicability to a wearable sleepiness monitoring device. The method uses a Fas ...

2009

Genetic Team Composition and Level of Selection in the Evolution of Cooperation

Dario Floreano, Laurent Keller, Markus Waibel

In cooperative multiagent systems, agents interact to solve tasks. Global dynamics of multiagent teams result from local agent interactions, and are complex and difficult to predict. Evolutionary computation has proven a promising approach to the design of ...

2009

Evolved swarming without positioning information: an application in aerial communication relay

Jean-Christophe Zufferey, Dario Floreano, Sabine Hauert

2009

Combining Multiple Results of a Reverse Engineering Algorithm: Application to the DREAM Five Gene Network Challenge

Dario Floreano, Daniel Marbach, Claudio Mattiussi

The output of reverse engineering methods for biological networks is often not a single network prediction, but an ensemble of networks that are consistent with the experimentally measured data. In this paper, we consider the problem of combining the infor ...

Blackwell Publishing, 9600 Garsington Rd, Oxford Ox4 2Dq, Oxen, England2009

A Minimalist Control Strategy for Small UAVs

Jean-Christophe Zufferey, Dario Floreano, Severin Leven

Most autopilots of existing Miniature Unmanned Air Vehicles (MUAVs) rely on control architectures that typically use a large number of sensors (gyros, accelerometers, magnetometers, GPS) and a computationally demanding estimation of flight states. As a con ...

IEEE2009

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