Evolutionary Robotics

Evolutionary robotics takes inspiration from natural evolution to automatically design robot bodies and brains (neural networks) and to understand evolution of living systems. From an artificial intelligence perspective, we are interested in open-ended evolution, evolution of multi-cellular soft robots, and evolution of swarming systems. From a biological perspective, we are interested in understanding the evolutionary emergence and principles of cooperation, competition, division of labour, and communication.

We are also interested in promoting the understanding and study of evolution by means of software and hardware educational tools. We developed RoboGen™, an open-source software for the co-evolution of neural controllers and body shapes in physics-based simulations where evolved body parts can be 3D-printed and assembled with low-cost, off-the-shelf electronic components.

Bio-inspired Tensegrity Soft Modular Robots – Infoscience – link

Dual-stiffness origami drone

2025

Evolutionary Codesign and Fabrication of Tensegrity Joints with Integrated Pneumatic Artificial Muscles

J. Petrš; R. Kobayashi; F. van Diggelen; H. Nabae; K. Suzumori et al. 

Advanced Intelligent Systems. 2025. DOI : 10.1002/aisy.202500310.

2024

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

W. D. Shin; H. V. Phan; M. A. Daley; A. Ijspeert; D. Floreano 

Nature. 2024. Vol. 636, p. 86 – 91. DOI : 10.1038/s41586-024-08228-9.

Co-Design Optimisation of Morphing Topology and Control of Winged Drones

F. Bergonti; G. Nava; V. Wüest; A. Paolino; G. L’Erario et al. 

2024. IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, May 13th – 17th, 2024. p. 8679 – 8685. DOI : 10.1109/ICRA57147.2024.10611506.

2023

The evolution of behavioral cues and signaling in displaced communication

A. Bernard; S. Wischmann; D. Floreano; L. Keller 

PLoS Computational Biology. 2023. Vol. 19, num. 3, p. e1010487. DOI : 10.1371/journal.pcbi.1010487.

2022

Model Predictive Control of Aerial Swarms

E. Soria / D. Floreano (Dir.)  

Lausanne, EPFL, 2022. 

2021

Predictive control of aerial swarms in cluttered environments

E. Soria; F. Schiano; D. Floreano 

Nature Machine Intelligence. 2021. Vol. 3, p. 545 – 554. DOI : 10.1038/s42256-021-00341-y.

Variable-Stiffness Tensegrity Modular Robots

D. Zappetti / D. Floreano (Dir.)  

Lausanne, EPFL, 2021. 

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

E. Zardini; D. Zappetti; D. Zambrano; G. Iacca; D. Floreano 

2021. The Genetic and Evolutionary Computation Conference (GECCO 2021), Lille, France (virtual conference), July 10-14, 2021. DOI : 10.1145/3449639.3459311.

2019

Learning Vision-based Flight in Drone Swarms by Imitation

F. Schilling; J. Lecoeur; F. Schiano; D. Floreano 

IEEE Robotics and Automation Letters. 2019. Vol. 4, num. 4, p. 4523 – 4530. DOI : 10.1109/LRA.2019.2935377.

The influence of limited visual sensing on the Reynolds flocking algorithm

E. Soria; F. Schiano; D. Floreano 

2019. The Third IEEE International Conference on Robotic Computing, Naples, Italy, February 25-27, 2019. DOI : 10.1109/IRC.2019.00028.

Inquiry-Based Learning with RoboGen: An Open-Source Software and Hardware Platform for Robotics and Artificial Intelligence

J. E. Auerbach; A. Concordel; P. M. Kornatowski; D. Floreano 

IEEE Transactions on Learning Technologies. 2019. Vol. 12, num. 3, p. 356 – 369. DOI : 10.1109/TLT.2018.2833111.

2017

Bio-inspired Tensegrity Soft Modular Robots

D. Zappetti; S. Mintchev; J. Shintake; D. Floreano 

2017. Living Machines 2017, Palo Alto, California, USA, July 25-28, 2017. p. 497 – 508. DOI : 10.1007/978-3-319-63537-8_42.

Climbing favours the tripod gait over alternative faster insect gaits

P. Ramdya; R. Thandiackal; R. Cherney; T. Asselborn; R. Benton et al. 

Nature Communications. 2017. Vol. 8, p. 14494. DOI : 10.1038/ncomms14494.

Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies

G. E. Tamo; A. Maesani; S. Träger; M. Degiacomi; D. Floreano et al. 

Scientific Reports. 2017. Vol. 7, p. 235. DOI : 10.1038/s41598-017-00266-w.

2016

Evolutionary Robotics

S. Nolfi; J. Bongard; P. Husbands; D. Floreano 

Handbook of Robotics; Berlin: Springer Verlag, 2016. p. 2035 – 2068.

The Seamless Peer and Cloud Evolution Framework

G. Leclerc; J. E. Auerbach; G. Iacca; D. Floreano 

2016. GECCO ’16, Denver, Colorado, USA, 20-24 07 2016. p. 821 – 828. DOI : 10.1145/2908812.2908886.

Memetic Viability Evolution for Constrained Optimization

A. Maesani; G. Iacca; D. Floreano 

IEEE Transactions on Evolutionary Computation. 2016. Vol. 20, num. 1, p. 125 – 144. DOI : 10.1109/TEVC.2015.2428292.

Gaining Insight into Quality Diversity

J. E. Auerbach; G. Iacca; D. Floreano 

2016. GECCO ’16, Denver, Colorado, USA, 20-24 07 2016. p. 1061 – 1064. DOI : 10.1145/2908961.2931675.

2015

Fluctuation-driven neural dynamics reproduce Drosophila locomotor patterns

A. Maesani; P. Ramdya; S. Cruchet; K. Gustafson; R. Benton et al. 

Plos Computational Biology. 2015. Vol. 11, num. 11, p. e1004577. DOI : 10.1371/journal.pcbi.1004577.

Mechanosensory interactions drive collective behaviour in Drosophila

P. Ramdya; P. Lichocki; S. Cruchet; L. Frisch; W. Tse et al. 

Nature. 2015. Vol. 519, p. 233 – 236. DOI : 10.1038/nature14024.

Rapid Evolution of Robot Gaits

J. E. Auerbach; G. H. M. Heitz; P. M. Kornatowski; D. Floreano 

2015. GECCO ’15, Madrid, Spain, July 11-15, 2015. p. 743 – 744. DOI : 10.1145/2739482.2764894.

Viability evolutionary algorithms and applications to neuroscience and biology

A. Maesani / D. Floreano (Dir.)  

Lausanne, EPFL, 2015. 

2014

Artificial Evolution by Viability Rather Than Competition

A. Maesani; P. R. Fernando; D. Floreano 

PLOS One. 2014. Vol. 9, num. 1, p. e86831. DOI : 10.1371/journal.pone.0086831.

Evolving Cooperation: From Biology to Engineering

S. Hauert; S. Mitri; L. Keller; D. Floreano 

The Horizons of Evolutionary Robotics; Cambridge, MA: MIT Press, 2014. p. 203 – 217.

Selection methods regulate evolution of cooperation in digital evolution

P. Lichocki; D. Floreano; L. Keller 

Journal of the Royal Society Interface. 2014. Vol. 11, num. 90, p. 20130743. DOI : 10.1098/rsif.2013.0743.

Takashi Gomi and the evolution of embodied AI

D. Floreano 

Adaptive Behavior. 2014.  p. 1059712314553807. DOI : 10.1177/1059712314553807.

Soft Cells for Programmable Self-Assembly of Robotic Modules

J. M. Germann; A. Maesani; R. Pericet Camara; D. Floreano 

Soft Robotics. 2014. Vol. 1, num. 4, p. 239 – 245. DOI : 10.1089/soro.2014.0005.

RoboGen: Robot Generation through Artificial Evolution

J. Auerbach; D. Aydin; A. Maesani; P. Kornatowski; T. Cieslewski et al. 

2014. Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems, New York, NY, USA, July 30-August 2, 2014. p. 136 – 137. DOI : 10.7551/978-0-262-32621-6-ch022.

Soft Cells for Modular Robots

J. M. Germann / D. Floreano; R. Pfeifer (Dir.)  

Lausanne, EPFL, 2014. 

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

J. Germann; J. Auerbach; D. Floreano 

2014. Simulation of Adaptive Behavior 2014, Castellón, Spain, July 22-26, 2014. p. 220 – 229. DOI : 10.1007/978-3-319-08864-8_21.

Robotics and Neuroscience

D. Floreano; A. Ijspeert; S. Schaal 

Current Biology. 2014. Vol. 24, p. R910 – R920. DOI : 10.1016/j.cub.2014.07.058.

Online Extreme Evolutionary Learning Machines

J. E. Auerbach; C. Fernando; D. Floreano 

2014. Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems, New York, NY, USA, July 30-August 2, 2014. p. 465 – 472. DOI : 10.7551/978-0-262-32621-6-ch076.

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

A. Maesani; D. Floreano 

2014. 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, Slovenia, September 13-17, 2014. p. 272 – 281. DOI : 10.1007/978-3-319-10762-2_27.

From Genes to Organisms : Bioinformatics System Models and Software

T. Schaffter / D. Floreano; M. Affolter (Dir.)  

Lausanne, EPFL, 2014. 

2013

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

J. M. Germann; A. Maesani; M. Stöckli; D. Floreano 

2013. IEEE International Conference on Robotics and Biomimetics, Shenzhen, China, December 12-14, 2013. p. 1300 – 1305. DOI : 10.1109/ROBIO.2013.6739644.

Using robots to understand social behavior

S. Mitri; S. Wischmann; D. Floreano; L. Keller 

Biological Reviews. 2013. num. 88, p. 31 – 39. DOI : 10.1111/j.1469-185X.2012.00236.x.

Evolving team compositions by agent swapping

P. Lichocki; S. Wischmann; L. Keller; D. Floreano 

IEEE Transactions on Evolutionary Computation. 2013. Vol. 17, num. 2, p. 282 – 298. DOI : 10.1109/TEVC.2012.2191292.

Evolution of division of labor in artificial societies

P. Lichocki / D. Floreano; L. Keller (Dir.)  

Lausanne, EPFL, 2013. 

2012

Differences in the Concept of Fitness Between Artificial Evolution and Natural Selection

P. Lichocki; L. Keller; D. Floreano 

2012. Artificial Life 13, the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, East Lansing, Michigan, USA, July 19-22, 2012. p. 530 – 531.

Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots

S. Wischmann; D. Floreano; L. Keller 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2012. Vol. 109, num. 3, p. 864 – 868. DOI : 10.1073/pnas.1104267109.

Limitations of response thresholds models of division of labor

P. Lichocki; D. Tarapore; L. Keller; D. Floreano 

2012. Artificial Life 13, the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, East Lansing, Michigan, USA, July 19-22, 2012. p. 561 – 562.

Fluorescence Behavioral Imaging (FBI) tracks identity in heterogeneous groups of Drosophila

P. P. Ramdya; T. Schaffter; D. Floreano; R. Benton 

PLOS One. 2012. Vol. 7, num. 11, p. e48381. DOI : 10.1371/journal.pone.0048381.

Neural networks as mechanisms to regulate division of labor

P. Lichocki; D. Tarapore; L. Keller; D. Floreano 

The American Naturalist. 2012. Vol. 179, num. 3, p. 391 – 400. DOI : 10.1086/664079.

2011

GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods

T. Schaffter; D. Marbach; D. Floreano 

Bioinformatics. 2011. Vol. 27, num. 16, p. 2263 – 2270. DOI : 10.1093/bioinformatics/btr373.

myCopter: Enabling Technologies for Personal Air Transport Systems

M. Jump; P. Padfield; M. White; D. Floreano; P. Fua et al. 

2011. RAeS Rotorcraft Conference: The Future Rotorcraft – Enabling Capability Through the Application of Technology, London, UK, 15-16th June 2011.

Reynolds flocking in reality with fixed-wing robots: communication range vs. maximum turning rate

S. Hauert; S. Leven; M. Varga; F. Ruini; A. Cangelosi et al. 

2011. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’2011), San Francisco, September 25-30, 2011. p. 5015 – 5020. DOI : 10.1109/IROS.2011.6095129.

Robot Companions for Citizens

P. Dario; P. Verschure; T. Prescott; G. Sandini; R. Cingolani et al. 

2011. FET’11, Budapest, p. 47 – 51. DOI : 10.1016/j.procs.2011.12.017.

Beyond Graphs: A New Synthesis

C. Mattiussi; P. Dürr; D. Marbach; D. Floreano 

Journal of Computational Science. 2011. Vol. 2, num. 2, p. 165 – 177. DOI : 10.1016/j.jocs.2011.01.007.

myCopter – Enabling Technologies for Personal Aerial Transportation Systems

F. M. Nieuwenhuizen; M. Jump; M. White; P. Perfect; P. Padfield et al. 

2011. International HELI World Conference, Frankfurt/Main, Germany, 2011.

Relatedness influences signal reliability in evolving robots

S. Mitri; D. Floreano; L. Keller 

Proceedings of the Royal Society B. 2011. Vol. 278, p. 378 – 383. DOI : 10.1098/rspb.2010.1407.

A Quantitative Test of Hamilton’s Rule for the Evolution of Altruism

M. Waibel; D. Floreano; L. Keller 

PLOS Biology. 2011. Vol. 9, num. 5, p. e1000615. DOI : 10.1371/journal.pbio.1000615.

Genetic Representation of Adaptive Neural Controllers

P. Dürr / D. Floreano (Dir.)  

Lausanne, EPFL, 2011. 

myCopter – Enabling Technologies for Personal Aerial Transportation Systems.

M. Jump; P. Perfect; G. D. Padfield; M. D. White; D. Floreano et al. 

2011. European Rotorcraft Forum, Vergiate/Gallarate, Italy, September 13-15, 2011.

2010

Task-dependent influence of genetic architecture and mating frequency on division of labour in social insect societies

D. Tarapore; D. Floreano; L. Keller 

Behavioral Ecology and Sociobiology. 2010. Vol. 64, p. 675 – 684. DOI : 10.1007/s00265-009-0885-4.

GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods

T. Schaffter; D. Marbach; K. Manolis; D. Floreano 

All-SystemsX.ch-Day 2010, Geneva, Switzerland, November 1-2, 2010.

Swarm Intelligence. Proceedings of the 7th International Conference, ANTS 2010

M. Dorigo; M. Birattari; G. Di Caro; R. Doursat; A. Engelbrecht et al. 

2010. 

GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods

T. Schaffter; D. Marbach; K. Manolis; D. Floreano 

3rd annual joint conference on Systems Biology, Regulatory Genomics, and Reverse Engineering Challenges, New York City, USA, November 16-20, 2010.

Communication-based Swarming for Flying Robots

S. Hauert; S. Leven; J-C. Zufferey; D. Floreano 

International Workshop on Self-Organized Systems, Zürich, Switzerland, December 9-11.

Communication-based Swarming for Flying Robots

S. Hauert; S. Leven; J-C. Zufferey; D. Floreano 

2010. IEEE International Conference on Robotics and Automation, Workshop on Network Science and Systems Issues in Multi-Robot Autonomy, Anchorage, Alaska, May 7, 2010.

Evolutionary Synthesis of Communication-Based Aerial Swarms

S. Hauert / D. Floreano; J-C. Zufferey (Dir.)  

Lausanne, EPFL, 2010. 

Revealing strengths and weaknesses of methods for gene network inference

D. Marbach; R. J. Prill; T. Schaffter; C. Mattiussi; D. Floreano et al. 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2010. Vol. 107, num. 14, p. 6286 – 6291. DOI : 10.1073/pnas.0913357107.

Evolving Cooperation: From Biology to Engineering

S. Hauert; S. Mitri; L. Keller; D. Floreano 

The Horizons of Evolutionary Robotics; Cambridge, USA: MIT Press, 2010.

Evolution of Adaptive Behaviour in Robots by Means of Darwinian Selection

D. Floreano; L. Keller 

PLOS Biology. 2010. Vol. 8, num. 1, p. e100029. DOI : 10.1371/journal.pbio.1000292.

Insect Vision: A Few Tricks to Regulate Flight Altitude

D. Floreano; J-C. Zufferey 

Current Biology. 2010. Vol. 20, num. 19, p. R847 – R849. DOI : 10.1016/j.cub.2010.08.022.

Genetic representation and evolvability of modular neural controllers

P. Dürr; C. Mattiussi; D. Floreano 

IEEE Computational Intelligence Magazine. 2010. Vol. 5, num. 3, p. 10 – 19. DOI : 10.1109/MCI.2010.937319.

2009

Reverse-engineering of Artificially Evolved Controllers for Swarms of Robots

S. Hauert; J-C. Zufferey; D. Floreano 

2009. IEEE Congress on Evolutionary Computation, Trondheim, Norway, May 18-21, 2009. p. 55 – 61. DOI : 10.1109/CEC.2009.4982930.

Towards a self-deploying and gliding robot

M. Kovac; J-C. Zufferey; D. Floreano 

Flying Insects and Robots; Berlin: Springer Berlin Heidelberg, 2009. p. 271 – 284.

Evolutionary Selection of Features for Neural Sleep/Wake Discrimination

P. Dürr; W. Karlen; J. Guignard; C. Mattiussi; D. Floreano 

Journal of Artificial Evolution and Applications. 2009. Vol. 2009, p. 1 – 10. DOI : 10.1155/2009/179680.

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

S. Hauert; J-C. Zufferey; D. Floreano 

Autonomous Robots. 2009. Vol. 26, num. 1, p. 21 – 32. DOI : 10.1007/s10514-008-9104-9.

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

M. Waibel; L. Keller; D. Floreano 

IEEE Transactions on Evolutionary Computation. 2009. Vol. 13, num. 3, p. 648 – 660. DOI : 10.1109/TEVC.2008.2011741.

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

D. Marbach; C. Mattiussi; D. Floreano 

Annals of the New York Academy of Sciences. 2009. Vol. 1158, p. 102 – 113. DOI : 10.1111/j.1749-6632.2008.03945.x.

Evolutionary Conditions for the Emergence of Communication

S. Mitri; D. Floreano; L. Keller 

Evolution of Communication and Language in Embodied Agents; Berlin: Springer Verlag, 2009. p. 123 – 134.

The e-puck, a Robot Designed for Education in Engineering

F. Mondada; M. Bonani; X. Raemy; J. Pugh; C. Cianci et al. 

2009. 9th Conference on Autonomous Robot Systems and Competitions, Castelo Branco, Portugal, May 7, 2009. p. 59 – 65.

A Robotic Platform for Studying the Evolution of Communication

D. Floreano; S. Mitri; J. Hubert 

Evolution of Communication and Language in Embodied Agents; Berlin: Springer Verlag, 2009. p. 303 – 306.

Active Vision for Goal-Oriented Humanoid Robot Walking

M. Suzuki; T. Gritti; D. Floreano 

Creating Brain-Like Intelligence; Springer-Verlag, 2009. p. 303 – 313.

Evolutionary reverse engineering of gene networks

D. Marbach / D. Floreano (Dir.)  

Lausanne, EPFL, 2009. 

Replaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks

D. Marbach; C. Mattiussi; D. Floreano 

Annals of the New York Academy of Sciences. 2009. Vol. 1158, p. 234 – 245. DOI : 10.1111/j.1749-6632.2008.03944.x.

Methods for Artificial Evolution of Truly Cooperative Robots

L. Keller; D. Floreano 

2009. International Workshop on Artificial Neural Network 2009, Salamanca, Spain, June 10-12, 2009. p. 768 – 772. DOI : 10.1007/978-3-642-02478-8_96.

The Evolution of Information Suppression in Communicating Robots with Conflicting Interests

S. Mitri; D. Floreano; L. Keller 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2009. Vol. 106, num. 37, p. 15786 – 15790. DOI : 10.1073/pnas.0903152106.

2.5D Infrared Range and Bearing System for Collective Robotics

J. F. Roberts; T. S. Stirling; J-C. Zufferey; D. Floreano 

2009. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’2009), St. Louis, October 10-15, 2009. p. 3659 – 3664. DOI : 10.1109/IROS.2009.5354263.

The evolution of communication in robot societies

S. Mitri / D. Floreano; L. Keller (Dir.)  

Lausanne, EPFL, 2009. 

2008

Evolvability of Neuromodulated Learning for Robots

P. Dürr; C. Mattiussi; A. Soltoggio; D. Floreano 

2008. The 2008 ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems, Edinburgh, Scotland, August 6-8, 2008. p. 41 – 46. DOI : 10.1109/LAB-RS.2008.22.

The Age of Analog Networks

C. Mattiussi; D. Marbach; P. Dürr; D. Floreano 

AI Magazine. 2008. Vol. 29, num. 3, p. 63 – . DOI : 10.1609/aimag.v29i3.2156.

Enactive Robot Vision

M. Suzuki; D. Floreano 

Adaptive Behavior. 2008. Vol. 16, num. 2-3, p. 122 – 128. DOI : 10.1177/1059712308089183.

Evolution of Altruistic Robots

D. Floreano; S. Mitri; A. Perez-Uribe; L. Keller 

Computational Intelligence: Research Frontiers; Heidelberg: Springer Verlag, 2008. p. 232 – 248.

Scalable Reverse Engineering of Nonlinear Gene Networks

T. Schaffter; D. Marbach; C. Mattiussi; D. Floreano 

Exhibition of the Master projects, EPFL, Lausanne, Switzerland, March 7, 2008.

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward- based Scenarios

A. Soltoggio; J. A. Bullinaria; C. Mattiussi; P. Dürr; D. Floreano 

2008. Artificial Life XI, Winchester UK, 5-8 August 2008. p. 569 – .

Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies

D. Floreano; C. Mattiussi 

Cambridge, MA: MIT Press, 2008.

Evolutionary Robotics

D. Floreano; P. Husbands; S. Nolfi 

Handbook of Robotics; Berlin: Springer Verlag, 2008.

Neuroevolution: from architectures to learning

D. Floreano; P. Dürr; C. Mattiussi 

Evolutionary Intelligence. 2008. Vol. 1, num. 1, p. 47 – 62. DOI : 10.1007/s12065-007-0002-4.

2007

Pheromone-based Swarming for Position-less MAVs

S. Hauert; L. Winkler; J-C. Zufferey; D. Floreano 

Flying Insects and Robots Symposium, Monte-Verità, Ascona, Switzerland, 12-17 August.

Evolving Neuromodulatory Topologies for Reinforcement Learning-like Problems

A. Soltoggio; P. Dürr; C. Mattiussi; D. Floreano 

2007. IEEE Congress on Evolutionary Computation (CEC 2007) 25-28 Sept. 2007, Singapore, September 25-28, 2007. p. 2471 – 2478. DOI : 10.1109/CEC.2007.4424781.

Enactive robot vision

M. Suzuki / D. Floreano (Dir.)  

Lausanne, EPFL, 2007. 

Evolutionary Conditions for the Emergence of Communication in Robots

D. Floreano; S. Mitri; S. Magnenat; L. Keller 

Current Biology. 2007. Vol. 17, p. 514 – 519. DOI : 10.1016/j.cub.2007.01.058.

Evolutionary Swarms of Flying Robots

D. Floreano; S. Hauert; S. Leven; J-C. Zufferey 

2007. International Symposium on Flying Insects and Robots, Monte Verità, Switzerland, Monte Verità, Locarno, Switzerland, August 12-17.

Method and device for the genetic representation and evolution of networks

C. Mattiussi; D. Floreano 

US2007011111; US7370019.

2007.

Center of Mass Encoding: A self-adaptive representation with adjustable redundancy for real-valued parameters

C. Mattiussi; P. Dürr; D. Floreano 

2007. GECCO 2007, University College, London, 2007. p. 1304 – . DOI : 10.1145/1276958.1277205.

Analog Genetic Encoding for the Evolution of Circuits and Networks

C. Mattiussi; D. Floreano 

IEEE Transactions on Evolutionary Computation. 2007. Vol. 11, num. 5, p. 596 – . DOI : 10.1109/TEVC.2006.886801.

Evolution of cooperation in artificial ants

M. Waibel / D. Floreano; L. Keller (Dir.)  

Lausanne, EPFL, 2007. 

Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks

D. Marbach; C. Mattiussi; D. Floreano 

2007. 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2007), València, 11.4.-13.4.07. p. 155 – 165. DOI : 10.1007/978-3-540-71783-6_15.

Evolutionary morphogenesis for multi-cellular systems

D. Roggen; D. Federici; D. Floreano 

Genetic Programming and Evolvable Machines. 2007. Vol. 8, num. 1, p. 61 – 96. DOI : 10.1007/s10710-006-9019-1.

2006

Flying over the Reality Gap: From Simulated to Real Indoor Airships

J-C. Zufferey; A. Guanella; A. Beyeler; D. Floreano 

Autonomous Robots. 2006. Vol. 21, num. 3, p. 243 – 254. DOI : 10.1007/s10514-006-9718-8.

Division of labour and colony efficiency in social insects: effects of interactions between genetic architecture, colony kin structure and rate of perturbations

M. Waibel; D. Floreano; S. Magnenat; L. Keller 

Proceedings of the Royal Society B. 2006. Vol. 273, p. 1815 – 23. DOI : 10.1098/rspb.2006.3513.

Active Vision for Neural Development and Landmark Navigation

M. Suzuki; D. Floreano 

2006. 50th Anniversary Summit of Artificial Intelligence, Monte Verità, Switzerland, 9-14 July 2006. p. 247 – 248.

Omnidirectional Active Vision for Evolutionary Car Driving

M. Suzuki; J. van der Blij; D. Floreano 

2006. The Ninth International Conference on Intelligent Autonomous Systems, Tokyo, Japan, 7-9 March 2006. p. 153 – .

Evolutionary Active Vision Toward Three Dimensional Landmark-Navigation

M. Suzuki; D. Floreano 

2006. From Animals to Animats 9: The Ninth International Conference on the Simulation of Adaptive Behavior, Roma, Italy, 25-29 September 2006. p. 263 – . DOI : 10.1007/11840541_22.

Influence of the level of polyandry and genetic architecture on division of labour

D. Tarapore; D. Floreano; L. Keller 

2006. The Tenth International Conference on the Simulation and Synthesis of Living Systems, Bloomington, IN, June 3-7, 2006. p. 358 – 364.

Artificial Life X

L. M. Rocha; L. S. Yaeger; M. A. Bedeau; D. Floreano; R. L. Goldstone et al. 

2006. Tenth International Conference on the Simulation and Synthesis of Living Systems.

Dynamical principles for neuroscience and intelligent biomimetic devices

A. Ijspeert; J. Buchli; A. Selverston; M. Rabinovich; M. Hasler et al. 

2006. EPFL LATSIS Symposium 2006.

Active Vision and Neural Development in Animals and Robots

D. Floreano; M. Suzuki 

2006. The Seventh International Conference on Cognitive Modeling, Trieste, Italy, 5-8 April 2006. p. 10 – .

Neuroevolution with Analog Genetic Encoding

P. Dürr; C. Mattiussi; D. Floreano 

2006. 9th Conference on Parallel Problem Solving from Nature (PPSN iX), Reykjavik, Iceland, 9-13 September 2006. p. 671 – . DOI : 10.1007/11844297_68.

Trends in Dynamic and Embodied Cognition

M. Suzuki; D. Floreano 

International Neural Network Society Newsletter. 2006. Vol. 4, num. 2, p. 9 – .

Evolution of Spiking Neural Circuits in Autonomous Mobile Robots

D. Floreano; Y. Epars; J-C. Zufferey; C. Mattiussi 

International Journal of Intelligent Systems. 2006. Vol. 21, num. 9, p. 1005 – 1024. DOI : 10.1002/int.20173.

2005

Superlinear Physical Performances in a SWARM-BOT

F. Mondada; M. Bonani; A. Guignard; S. Magnenat; C. Studer et al. 

2005. 8th European Conference on Artificial Life (ECAL’2005), Canterbury, Kent (UK), 5-9 September. p. 282 – 291. DOI : 10.1007/11553090_29.

Evolutionary synthesis of analog networks

C. Mattiussi / D. Floreano (Dir.)  

Lausanne, EPFL, 2005. 

Bio-inspired vision-based flying robots

J-C. Zufferey / D. Floreano (Dir.)  

Lausanne, EPFL, 2005. 

The SWARM-BOTS Project

M. Dorigo; E. Tuci; F. Mondada; S. Nolfi; J-L. Deneubourg et al. 

Künstliche Intelligenz. 2005.  p. 32 – 35.

Active Vision and Receptive Field Development in Evolutionary Robots

D. Floreano; M. Suzuki; C. Mattiussi 

Evolutionary Computation. 2005. Vol. 13, num. 4, p. 527 – . DOI : 10.1162/106365605774666912.

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

M. Suzuki; D. Floreano; E. A. Di Paolo 

2005. The International Joint Conference on Neural Networks, Montreal, Canada, 31 July-4 August 2005. p. 2778 – . DOI : 10.1109/IJCNN.2005.1556365.

From Wheels to Wings with Evolutionary Spiking Neurons

D. Floreano; J-C. Zufferey; J-D. Nicoud 

Artificial Life. 2005. Vol. 11, num. 1-2, p. 121 – 138. DOI : 10.1162/1064546053278900.

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

B. von Haller; A. Ijspeert; D. Floreano 

2005. 8th European Conference on Artificial Life (ECAL’2005), Canterbury, Kent (UK), 5-9 September. p. 189 – 199. DOI : 10.1007/11553090_20.

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

M. Suzuki; D. Floreano; E. A. Di Paolo 

Neural Networks. 2005. Vol. 18, num. 5/6, p. 656 – . DOI : 10.1016/j.neunet.2005.06.043.

The cooperation of swarm-bots: physical interactions in collective robotics

F. Mondada; L. Gambardella; D. Floreano; M. Dorigo 

IEEE Robotics & Automation Magazine. 2005. Vol. 12, num. 2, p. 21 – 28. DOI : 10.1109/MRA.2005.1458313.

Multi-cellular reconfigurable circuits : evolution, morphogenesis and learning

D. Roggen / D. Floreano (Dir.)  

Lausanne, EPFL, 2005. 

2004

Optic-flow-based Navigation for Ultralight Indoor Aircraft

J-C. Zufferey; D. Floreano 

Insect Sensors and Robotics, Brisbane, Australia, 23-26 August 2004.

Hardware morphogenetic developmental system

D. Roggen; D. Floreano 

2004

Coevolution of active vision and feature selection

D. Floreano; T. Kato; D. Marocco; E. Sauser 

Biological Cybernetics. 2004. Vol. 90, num. 3, p. 218 – . DOI : 10.1007/s00422-004-0467-5.

The SWARM-BOTS project

M. Dorigo; E. Tuci; R. Groß; V. Trianni; T. H. Labella et al. 

2004. Swarm Robotics (SAB’2004), Santa Monica, CA, USA, July 17. p. 31 – 44. DOI : 10.1007/978-3-540-30552-1_4.

Evolving Self-Organizing Behaviors for a Swarm-bot

M. Dorigo; V. Trianni; E. Sahin; R. Groß; T. H. Labella et al. 

Autonomous Robots. 2004. Vol. 17, num. 2-3, p. 223 – 245. DOI : 10.1023/B:AURO.0000033973.24945.f3.

Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes

C. Mattiussi; M. Waibel; D. Floreano 

Evolutionary Computation. 2004. Vol. 12, num. 4, p. 495 – . DOI : 10.1162/1063656043138923.

Physical connections and cooperation in swarm robotics

F. Mondada; M. Bonani; S. Magnenat; A. Guignard; D. Floreano et al. 

2004. 8th Conference on Intelligent Autonomous Systems (IAS8), Amsterdam, NL, March 10-14. p. 53 – 60.

Machine Self-Evolution

D. Floreano; F. Mondada; A. Perez-Uribe; D. Roggen 

YLEM journal. 2004. Vol. 24, num. 12, p. 4 – 10.

Evolution of Embodied Intelligence

D. Floreano; F. Mondada; A. Perez-Uribe; D. Roggen 

Embodied Artificial Intelligence; Berlin: Springer Verlag, 2004. p. 293 – 311.

SWARM-BOT: a New Distributed Robotic Concept

F. Mondada; G. C. Pettinaro; A. Guignard; I. Kwee; D. Floreano et al. 

Autonomous Robots. 2004. Vol. 17, num. 2-3, p. 193 – 221. DOI : 10.1023/B:AURO.0000033972.50769.1c.

Evolution of Analog Networks using Local String Alignment on Highly Reorganizable Genomes

C. Mattiussi; D. Floreano 

2004. NASA/DoD Conference on Evolvable Hardware (EH’2004), Seattle, 24-26 June. p. 30 – 37.

Connecting Transistors and Proteins

C. Mattiussi; D. Floreano 

2004. 9th International Conference on Artificial Life (Alife9), Boston (MA), p. 9 – 14.

Genetic and Evolutionary Computation – GECCO 2004

K. Deb; R. Poli; W. Banzhaf; -G. Beyer; E. Burke et al. 

2004. Genetic and Evolutionary Computation Conference.

2003

Complex Visual Behavior with Simple Brains: Co-evolutionary Active Vision and Feature Selection

D. Floreano 

2003. European Cognitive Science Conference, Osnabrück, Germany, 10-13 September. DOI : 10.4324/9781315782362-9.

Exploring the T-Maze: Evolving Learning-Like Robot Behaviors using CTRNNs

J. Blynel; D. Floreano 

2003. 2nd European Workshop on Evolutionary Robotics (EvoRob’2003), Essex, UK, 14-16 April. p. 593 – 604. DOI : 10.1007/3-540-36605-9_54.

Viability Evolution: Elimination and Extinction in Evolutionary Computation

C. Mattiussi; D. Floreano 

2003

Hardware spiking neural network with run-time reconfigurable connectivity in an autonomous robot

D. Roggen; S. Hofmann; Y. Thoma; D. Floreano 

2003. NASA/DoD Conference on Evolvable Hardware (EH’2003), Chicago, Illinois, USA, July 9-11. p. 189 – 198. DOI : 10.1109/EH.2003.1217666.

Effects of group composition and level of selection in the evolution of cooperation in artificial ants

A. Perez-Uribe; D. Floreano; L. Keller 

2003. 7th European Conference on Artificial Life (ECAL’2003). p. 128 – 137. DOI : 10.1007/978-3-540-39432-7_14.

Evolving Spiking Neurons from Wheels to Wings

D. Floreano; J-C. Zufferey; C. Mattiussi 

2003. 3rd International Symposium on Human and Artificial Intelligence Systems (HART’2002), Fukui, Japan, December 6-7, 2002. p. 65 – 70.

Vision-based Navigation from Wheels to Wings

J-C. Zufferey; A. Beyeler; D. Floreano 

2003. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’2003). p. 2968 – 2973. DOI : 10.1109/IROS.2003.1249322.

POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware

A. Tyrrell; E. Sanchez; D. Floreano; G. Tempesti; D. Mange et al. 

2003. 5th International Conference, ICES 2003, Trondheim, Norway, March 17–20, 2003. p. 129 – 140. DOI : 10.1007/3-540-36553-2_12.

SWARM-BOT: From Concept to Implementation

F. Mondada; A. Guignard; M. Bonani; D. Bär; M. Lauria et al. 

2003. International Conference on Intelligent Robots and Systems (IROS’2003). p. 1626 – 1631. DOI : 10.1109/IROS.2003.1248877.

Swarm-Bots: Swarm of Mobile Robots able to Self-Assemble and Self-Organize

S. Nolfi; J-L. Deneubourg; D. Floreano; L. M. Gambardella; F. Mondada et al. 

Ercim News. 2003. num. 53, p. 25 – 26.

A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit

D. Roggen; D. Floreano; C. Mattiussi 

2003. 5th International Conference on Evolvable Systems (ICES’2003), Trondheim, Norway, 17-20 March. p. 153 – 164. DOI : 10.1007/3-540-36553-2_14.

2002

SWARM-BOT: Pattern Formation in a Swarm of Self-Assembling Mobile Robots

E. Sahin; T. Labella; V. Trianni; J-L. Deneubourg; P. Rasse et al. 

2002. IEEE International Conference on Systems, Man and Cybernetics, Hammamet, Tunisia, October 6-9. p. 145 – 150. DOI : 10.1109/ICSMC.2002.1173259.

Evolving Vision-based Flying Robots

J-C. Zufferey; D. Floreano; M. van Leeuwen; T. Merenda 

2002. 2nd International Workshop on Biologically Motivated Computer Vision (BMCV’2002), Tübingen, November 22 – 24, 2002. p. 592 – 600. DOI : 10.1007/3-540-36181-2_59.

Active Vision and Feature Selection in Evolutionary Behavioral Systems

D. Marocco; D. Floreano 

2002. The Seventh International Conference on Simulation of Adaptive Behavior, Edinburgh, UK, 5 – 9 August. p. 247 – .

Evolutionary Bits’n’Spikes

D. Floreano; N. Schoeni; G. Caprari; J. Blynel 

2002. 8th International Conference on the Simulation and Synthesis of Living Systems (Alife 8), Sydney, NSW, Australia, 9-13 December.

Trends in Evolutionary Robotics

D. Floreano 

Proceedings of the 2002 Interdisciplinary College; Bremen: Arendtap Publishing, 2002. p. 314 – 333.

SWARM Robotics: A Different Approach to Service Robotics

G. C. Pettinaro; I. Kwee; L. Gambardella; F. Mondada; D. Floreano et al. 

2002. 33rd International Symposium on Robotics (ISR’2002), Stockholm, Sweden, October 7-11. p. 71 – 76.

Manuale sulle Reti Neurali

D. Floreano; C. Mattiussi 

Bologna: Il Mulino, 2002.

Levels of Dynamics and Adaptive Behavior in Evolutionary Neural Controllers

J. Blynel; D. Floreano 

2002. 7th International Conference on Simulation on Adaptive Behavior (SAB’2002), Edinburgh, UK, 4 – 9 – 11 August.

SWARM-BOT: A Swarm of Autonomous Mobile Robots with Self-Assembling Capabilities

F. Mondada; G. C. Pettinaro; I. Kwee; A. Guignard; D. Floreano et al. 

2002. Workshop on Self-Organisation and Evolution of Social Behaviour, Monte Verità, Ascona, Switzerland, September 8-13. p. 11 – 22.

From Animals to Animats 7

J. Hallam; D. Floreano; G. Hayes; J. Meyer 

2002. 7th International Conference on Simulation of Adaptive Behavior.

Neural Synthesis of Artificial Organisms through Evolution

S. Nolfi; D. Floreano 

Trends in Cognitive Sciences. 2002. Vol. 6, num. 1, p. 31 – 37. DOI : 10.1016/S1364-6613(00)01812-X.

Ago Ergo Sum

D. Floreano 

Consciousness Evolving; Amsterdam: John Benjamins Publishing, 2002. p. 181 – 204.

2001

Evolution of Plastic Control Networks

D. Floreano; J. Urzelai 

Autonomous Robots. 2001. Vol. 11, num. 3, p. 311 – 317. DOI : 10.1023/A:1012459627968.

Co-Evolution and Ontogenetic Change in Competing Robots

D. Floreano; S. Nolfi; F. Mondada 

Advances in the Evolutionary Synthesis of Intelligent Agents; Cambridge (MA): MIT Press, 2001.

Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments

J. Urzelai; D. Floreano 

Evolutionary Computation. 2001. Vol. 9, num. 4, p. 495 – 524. DOI : 10.1162/10636560152642887.

Evolution of Spiking Neural Controllers for Autonomous Vision-based Robots

D. Floreano; C. Mattiussi 

Evolutionary Robotics. From Intelligent Robotics to Artificial Life; Berlin: Springer-Verlag, 2001. p. 38 – 61.

An Evolutionary Active-Vision System

T. Kato; D. Floreano 

2001. The 2001 Congress on Evolutionary Computation, Seoul, South Korea, 05/27/2001 – 05/30/2001. p. 107 – .

Transitive choices by a simple, fully connected, backpropagation neural network: implications for the comparative study of transitive inference

C. De Lillo; D. Floreano; F. Antinucci 

Animal Cognition. 2001. Vol. 4, p. 61 – 68. DOI : 10.1007/s100710100092.

Neural Morphogenesis, Synaptic Plasticity, and Evolution

D. Floreano; J. Urzelai 

Theory in Biosciences. 2001. Vol. 120, num. 3-4, p. 225 – 240. DOI : 10.1078/1431-7613-00042.

Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-organizing Machines

S. Nolfi; D. Floreano 

Cambridge, MA: MIT Press, 2001.

2000

Evolutionary Robots with on-line self-organization and behavioral fitness

D. Floreano; J. Urzelai 

Neural Networks. 2000. Vol. 13, num. 4-5, p. 431 – 443. DOI : 10.1016/S0893-6080(00)00032-0.

Evolutionary On-Line Self-Organization of Autonomous Robots

D. Floreano; J. Urzelai 

2000. 5th International Conference on Artificial Life and Robotics (AROB’2000), Oita University, Japan,

Evolutionary robotics: developing robots through artificial evolution

S. Nolfi; D. Floreano 

ERCIM News. 2000. Vol. 42, p. 12 – 13.

Evolutionary Robots with Fast Adaptive Behavior in New Environments

J. Urzelai; D. Floreano 

2000. 3rd International Conference on Evolvable Systems (ICES’2000). p. 241 – 251. DOI : 10.1007/3-540-46406-9_24.

Evolutionary adaptive robots : artificial evolution of adaptation mechanisms for autonomous agents

J. Urzelai / D. Floreano (Dir.)  

Lausanne, EPFL, 2000. 

Artificial Evolution of Adaptive Software: An Application to Autonomous Robots

D. Floreano; J. Urzelai 

3D The Journal of Three dimensional images (in japanese). 2000. Vol. 14, num. 4, p. 64 – 69.

Evolutionary Robotics: The Next Generation

D. Floreano; J. Urzelai 

Evolutionary Robotics III; Ontario (Canada): AAI Books, 2000.

From Animals to Animats 6

J. Meyer; A. Berthoz; D. Floreano; H. Roitblat; S. Wilson 

2000. 6th International Conference on Simulation of Adaptive Behavior.

Artificial Evolution of Robust Adaptive Software: An Application to Autonomous Robots

D. Floreano; J. Urzelai 

2000. 3rd International Conference on Human and Computer (HC’2000), Aizu, Japan,

Evolutionary Robotics: Coping with Environmental Change

J. Urzelai; D. Floreano 

2000. Genetic and Evolutionary Computation Conference (GECCO’2000), Las Vegas, Nevada, USA, July 8 – 12.

1999

Learning and Evolution

S. Nolfi; D. Floreano 

Autonomous Robots. 1999. Vol. 7, num. 1, p. 89 – 113. DOI : 10.1023/A:1008973931182.

Evolution of Adaptive-Synapse Controllers

D. Floreano; J. Urzelai 

1999. 5th European Conference on Artificial Life (ECAL’1999), EPFL, Lausanne, Switzerland, 13-17 September.

Learning of Variable-Resolution Cognitive maps for Autonomous Indoor Navigation

A. Arleo; J. d. R. Millán; D. Floreano 

IEEE Transactions on Robotics and Automation. 1999. Vol. 15, num. 6, p. 990 – 1000. DOI : 10.1109/70.817664.

Advances in Artificial Life

D. Floreano; J. Nicoud; F. Mondada 

1999. 5th European Conference on Artificial Life (ECAL’99).

Incremental Evolution with Minimal Resources

J. Urzelai; D. Floreano 

1999. First International Khepera Workshop (IKW’1999).

1998

Evolution and learning in Autonomous Robotic Agents

D. Floreano; J. Urzelai 

Bio-inspired Computing Systems; Lausanne: PPUR, 1998.

How co-evolution can enhance the adaptation power of artificial evolution: Implications for evolutionary robotics

S. Nolfi; D. Floreano 

1998. First European Workshop on Evolutionary Robotics (EVOROBOT’1998).

Evolutionary Neurocontrollers for Autonomous Mobile Robots

D. Floreano; F. Mondada 

Neural Networks. 1998. Vol. 11, num. 7-8, p. 1461 – 1478. DOI : 10.1016/S0893-6080(98)00082-3.

Competitive Co-Evolutionary Robotics: From Theory to Practice

D. Floreano; S. Nolfi; F. Mondada 

1998. 5th International Conference on Simulation of Adaptive Behavior (SAB’1998), Zurich, Switzerland, August 17-21. p. 515 – 524.

Incremental Robot Shaping

J. Urzelai; D. Floreano; M. Dorigo; M. Colombetti 

1998. 3rd International Conference on Genetic Programming.

Evolutionary Robotics in Artificial Life and Behavior Engineering

D. Floreano 

Evolutionary Robotics II; Ontario (Canada): AAI Books, 1998.

Incremental Robot Shaping

J. Urzelai; D. Floreano; M. Dorigo; M. Colombetti 

Connection Science. 1998. Vol. 10, p. 341 – 360. DOI : 10.1080/095400998116486.

Co-evolving predator and prey robots: Do ‘arm races’ arise in artificial evolution?

S. Nolfi; D. Floreano 

Artificial Life. 1998. Vol. 4, num. 4, p. 311 – 335. DOI : 10.1162/106454698568620.

Hardware Solutions for Evolutionary Robotics

D. Floreano; F. Mondada 

1998. First European Workshop on Evolutionary Robotics (EVOROBOT’1998), Berlin, p. 137 – 151. DOI : 10.1007/3-540-64957-3_69.

Design, Control, and Applications of Autonomous Mobile Robots

D. Floreano; J. Godjevac; A. Martinoli; F. Mondada; J. Nicoud 

Advances in Intelligent Autonomous Agents; Boston: Kluwer Academic Publishers, 1998. p. 159 – 186.

Contextually Guided Unsupervised Learning Using Local Multivariate Binary Processors

J. Kay; D. Floreano; W. Phillips 

Neural Networks. 1998. Vol. 11, num. 1, p. 117 – 140. DOI : 10.1016/S0893-6080(97)00110-X.

1997

Evolutionary Mobile Robotics

D. Floreano 

Genetic Algorithms in Engineering and Computer Science; Chichester: John Wiley and Sons, 1997.

Reducing Human Design and Increasing Adaptivity in Evolutionary Robotics

D. Floreano 

Evolutionary Robotics I; Ontario (Canada): AAI Books, 1997.

God Save the Red Queen! Competition in Co-Evolutionary Robotics

D. Floreano; S. Nolfi 

1997. 2nd Conference on Genetic Programming.

Interview on Evolutionary Robotics

D. Floreano; M. Kelly; G. Robertson 

1997.

Adaptive Behavior in Competitive Co-Evolutionary Robotics

D. Floreano; S. Nolfi 

1997. 4th European Conference on Artificial Life (ECAL’1997).

1996

Evolutionary Re-Adaptation of Neurocontrollers in Changing Environments

D. Floreano 

1996. Intelligent Technologies.

Evolution of Plastic Neurocontrollers for Situated Agents

D. Floreano; F. Mondada 

1996. 4th International Conference on Simulation of Adaptive Behavior (SAB’1996), Cape Cod, Massachusetts, September 9-13. p. 402 – 410.

Evolution of Homing Navigation in a Real Mobile Robot

D. Floreano; F. Mondada 

IEEE Transactions on Systems, Man and Cybernetics Part B : Cybernetics. 1996. Vol. 26, num. 3, p. 396 – 407. DOI : 10.1109/3477.499791.

Evolving fast-learning neural controllers for a mobile robot

D. Floreano; F. Mondada 

1996. 24th Conference of Neurobiology, Goettingen,

Extraction of Coherent Information from Non-Overlapping Receptive Fields

D. Floreano 

1996. International Conference on Artificial Neural Networks (ICANN’1996), Bochum, Germany, July 16-19, 1996. p. 389 – 394. DOI : 10.1007/3-540-61510-5_68.

1995

A computational theory of learning visual features via contextual guidance

D. Floreano; W. Phillips; J. Kay 

Perception. 1995. Vol. 24S, p. 22.

Evolution and Mobile Autonomous Robotics

F. Mondada; D. Floreano 

Towards Evolvable Hardware, The Evolutionary Engineering Approach; Berlin: Springer-Verlag, 1995. p. 221 – 249.

Evolution of neural control structures: Some experiments on mobile robots

F. Mondada; D. Floreano 

Robotics and Autonomous Systems. 1995. Vol. 16, num. 2-4, p. 183 – 195. DOI : 10.1016/0921-8890(96)81008-6.

1994

How to Evolve Autonomous Robots: Different Approaches in Evolutionary Robotics

S. Nolfi; D. Floreano; O. Miglino; F. Mondada 

1994. 4th International Workshop on Artificial Life, Cambridge, p. 190 – 197.

Active Perception, Navigation, Homing, and Grasping: An autonomous Perspective

D. Floreano; F. Mondada 

1994. From Perception to Action Conference (PERAC’1994).

Automatic Creation of an Autonomous Agent: Genetic Evolution of a Neural Network Driven Robot

D. Floreano; F. Mondada 

1994. 3rd International Conference on Simulation of Adaptive Behavior (SAB’1994), Brighton, England, August 8-12. p. 421 – 430.

Reti neurali artificiali: fondamenti tecnici e teorici

D. Floreano 

1994

1993

Anticipatory Tracking of a Moving Object

D. Floreano 

1993. Artificial and Natural Visual Systems. p. 344 – 353. DOI : 10.1007/3-540-57379-8_21.

Emergence of Nest-Based Foraging Strategies in Ecosystems of Neural Networks

D. Floreano 

1993. Second International Conference on Simulation of Adaptive Behavior (SAB’1992).

Eye tracking with a recurrent neural network

D. Floreano; D. Parisi; F. Antinucci; F. Natale 

Cognitive Systems. 1993. Vol. 3, p. 331 – 349.

Patterns of Interactions in Shared Environments

D. Floreano 

1993. 2nd European Conference of Artificial Life (ECAL’1993).

1992

Prediction and Imitation of Linguistic Sounds by Neural Networks

D. Parisi; D. Floreano 

1992. First Workshop on Neural Networks and Speech Processing.

Internal Prediction and Environment Models: An application to the development of language

D. Floreano; D. Parisi 

1992

1991

Emergent complex behaviours in ecosystems of neural networks

D. Floreano; O. Miglino; D. Parisi 

1991. Parallel Architectures and Neural Networks.

Symmetry Detection with a Neural Network

D. Floreano; L. Zang; W. Gerbino 

1991