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Mauro Birattari

Directeur de Recherches, F.R.S.–FNRS

Mauro Birattari
Mauro Birattari
IRIDIA – CP 194/6
Université libre de Bruxelles
Av. F.D. Roosevelt 50
1050 Bruxelles - Belgium
mbiro@ulb.ac.be
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Highlights

PhD Fellowship

PhD fellowship in reinforcement learning & robot swarms: 4 years, €2400/month tax-exempt. Position open until filled! Learn more...

Feb 2025

Editors' Choice 2024: CommsEng

My article "Automatic design of stigmergy-based behaviours for robot swarms" has been selected as one of the Editors’ Choice 2024 by the journal Communications Engineering of the Nature Portfolio!

Jan 2025

Communications Engineering

My article "Automatic design of stigmergy-based behaviours for robot swarms" has been published in Nature's Communications Engineering.

Feb 2024

Scientific Data

My article "On using simulation to predict the performance of robot swarms" has been published in Nature's Scientific Data.

Dec 2022

Nature Communications

My article "Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms" has been published in Nature Communications.

Jul 2021

Nature Machine Intelligence

My article "Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms" has been published in Nature Machine Intelligence.

Aug 2020

Directeur de recherches

I have been promoted to directeur de recherches (research director) of the F.R.S.–FNRS effective since October 1, 2019

Jun 21, 2019

In the ERC Spotlight

Article on the DEMIURGE project published in ERC=Science², the Europe-wide communications campaign that spotlights breakthrough science funded by the European Research Council (ERC): What can robots learn from ants?

Jul 2018

Science Robotics

My article "Autonomous task sequencing in a robot swarm" has been published in Science Robotics

Jul 2018

ERC Consolidator Grant

I have been awarded an ERC Consolidator Grant for the project "DEMIURGE: automatic design of robot swarms" project start date: Oct 1, 2016

Dec 2015

Highly cited papers

Two papers of mine are highly cited papers according to Web of Science:
  • M. Dorigo, M. Birattari, and T. Stützle (2006). Ant colony optimization: Artificial ants as a computational intelligence technique. [PDF] IEEE Computational Intelligence Magazine, 1(4):28-39 Highly Cited Paper
  • M. Brambilla, E. Ferrante, M. Birattari, and M. Dorigo (2013).   Swarm robotics: A review from the swarm engineering perspective.[PDF] Swarm Intelligence, 7(1):1-41 Highly Cited Paper
Each of these papers received enough citations to place it in the top 1% of the academic field of Computer Science

as of Feb 2015

SIGEVO Impact Award

The article A racing algorithm for configuring metaheuristics won the 2012 SIGEVO Impact Award.

Established in 2010, the SIGEVO Impact award recognizes up to three papers a year that were published in the GECCO conference 10 years earlier and which are both highly cited and deemed to be seminal by the SIGEVO Executive Committee

Jul 2012

Best Video Award

The video Swarmanoid, the movie, written and directed by Mauro Birattari and Rehan O'Grady, won the Best Video Award at the AAAI-11 AI Video Competition!

Aug 2011

Books

Tuning Metaheuristics: A machine learning perspective. M. Birattari. Springer, 2009

Song of the week

Quote of the month

Copyright © 1997–2025 Mauro Birattari