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Dario Floreano

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Related publications (291)

Page 3 of 15

Robotic Avian Wing Explains Aerodynamic Advantages of Wing Folding and Stroke Tilting in Flapping Flight

Adrien Paolini, Dario Floreano, Enrico Ajanic

Avian flapping strategies have the potential to revolutionize future drones as they may considerably improve agility, increase slow speed flight capability, and extend the aerodynamic performance. The study of live birds is time-consuming, laborious, and, ...

2022

Relatedness influences signal reliability in evolving robots

Dario Floreano, Laurent Keller, Sara Mitri

Communication is an indispensable component of animal societies, yet many open questions remain regarding the factors affecting the evolution and reliability of signalling systems. A potentially important factor is the level of genetic relatedness between ...

2011

Tales from a Robotic World. How Intelligent Machines Will Shape Our Future

Dario Floreano, Nicola Nosengo

Stories from the future of intelligent machines—from rescue drones to robot spouses—and accounts of cutting-edge research that could make it all possible. Tech prognosticators promised us robots—autonomous humanoids that could carry out any number of tasks ...

MIT Press2022

The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation

Dario Floreano, Fabrizio Schiano, Matteo Macchini, Manana Lortkipanidze

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Body-Machine Interfaces (BoMI) represent a promising alternative to standard c ...

2021

Robust Acoustic Source Localization of Emergency Signals from Micro Air Vehicles

Dario Floreano, Felix Stephan Schill, Meysam Basiri

In search and rescue missions, Micro Air Vehicles (MAV's) can assist rescuers to faster locate victims inside a large search area and to coordinate their efforts. Acoustic signals play an important role in outdoor rescue operations. Emergency whistles, as ...

2012

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

Auke Ijspeert, Dario Floreano

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

A Variable Stiffness Magnetic Catheter Made of a Conductive Phase-Change Polymer for Minimally Invasive Surgery

Dario Floreano, Jun Shintake, Yegor Piskarev

Variable stiffness (VS) is an important feature that significantly enhances the dexterity of magnetic catheters used in minimally invasive surgeries. Existing magnetic catheters with VS consist of sensors, heaters, and tubular structures filled with low me ...

2022

Learning Vision-based Flight in Drone Swarms by Imitation

Dario Floreano, Fabrizio Schiano, Fabian Maximilian Schilling, Julien Jean Denis Nicolas Lecoeur

Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirely visual approach to coordinate markerless drone swarms based on imitation l ...

2019

Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning

Dario Floreano, Amy Roning Wu, Vivek Ramachandran, Fabian Maximilian Schilling

People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, existing interfaces are often bulky and do not always ensure post-training skill ...

2021

Neuroevolution with Analog Genetic Encoding

Dario Floreano, Claudio Mattiussi, Peter Dürr

The evolution of artificial neural networks (ANNs) is often used to tackle difficult control problems. There are different approaches to the encoding of neural networks in artificial genomes. Analog Genetic Encoding (AGE) is a new implicit method derived f ...

2006

Audio-based Localization for Swarms of Micro Air Vehicles

Dario Floreano, Felix Stephan Schill, Meysam Basiri

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

Neuroevolution: from architectures to learning

Dario Floreano, Claudio Mattiussi, Peter Dürr

Artificial neural networks are applied to many real-world problems, ranging from pattern classification to robot control. In order to design a neural network for a particular task, the choice of an architecture (including the choice of a neuron model), and ...

2008

Towards edible robots and robotic food

Dario Floreano, Jun Shintake, Bokeon Kwak, Markéta Pankhurst

Edible robots and robotic food — edible systems that perceive, process and act upon stimulation — could open a new range of opportunities in health care, environmental management and the promotion of healthier eating habits. For example, they could enable ...

2024

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Dario Floreano, Davide Zappetti, Giovanni Iacca, Davide Zambrano

Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary algorithms (EAs), combined with physical simulators, represent a valid tool to overcome this issue. In this work, we investi ...

Association for Computing Machinery2021

Passive Perching with Energy Storage for Winged Aerial Robots

Dario Floreano, Yegor Piskarev, William John Stewart

Perching in unmanned aerial vehicles (UAVs) offers the possibility of extending the range of aerial robots beyond the limits of their batteries. It has been a topic of intense study for multirotor UAVs. Perching in winged UAVs is harder because a kinetic e ...

2021

Optic-Flow Based Control of a 46g Quadrotor

Dario Floreano, Jean-Christophe Zufferey, Adrien Briod

We aim at developing autonomous miniature hov- ering flying robots capable of navigating in unstructured GPS- denied environments. A major challenge is the miniaturization of the embedded sensors and processors allowing such platforms to fly autonomously. ...

2013

Replaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks

Dario Floreano, Claudio Mattiussi, Daniel Marbach

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

Agile perching maneuvers in birds and morphing-wing drones

Dario Floreano, Valentin Wüest, Enrico Ajanic, Simon Jeger

Avian perching maneuvers are one of the most frequent and agile flight sce narios, where highly optimized flight trajectories, produced by rapid wing and tail morphing that generate high angular rates and accelerations, reduce kinetic energy at impact. Whi ...

Springer Science and Business Media LLC2024

Fast ground-to-air transition with avian-inspired multifunctional legs

Auke Ijspeert, Dario Floreano, Hoang Vu Phan, Won Dong Shin

Most birds can navigate seamlessly between aerial and terrestrial environments. Whereas the forelimbs evolved into wings primarily for flight, the hindlimbs serve diverse functions such as walking, hopping, and leaping, and jumping take-off for transitions ...

Springer Science and Business Media LLC2024

A Sprayable Electrically Conductive Edible Coating for Piezoresistive Strain Sensing

Dario Floreano, Bokeon Kwak

Edible electronics leverages the electronic properties of food-derived materials to deliver safer technologies that can be degraded (or digested) in the environment (or body) at the end-of-life. Sensors will be central to future smart edible robots, and ed ...

Wiley2024