Mauro Birattari

Orcid: 0000-0003-3309-2194

Affiliations:
  • Université Libre de Bruxelles, Brussels, Belgium


According to our database1, Mauro Birattari authored at least 163 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Towards the automatic design of automatic methods for the design of robot swarms - results and controllers.
Dataset, July, 2024

Transferability in the Automatic Off-Line Design of Robot Swarms: From Sim-to-Real to Embodiment and Design-Method Transfer Across Different Platforms.
IEEE Robotics Autom. Lett., 2024

Collective perception for tracking people with a robot swarm.
CoRR, 2024

Leveraging swarm capabilities to assist other systems.
CoRR, 2024

Automatically designing robot swarms in environments populated by other robots: an experiment in robot shepherding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search.
Swarm Evol. Comput., December, 2023

Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms.
CoRR, 2023

Enhancing the technological maturity of robot swarms.
Proceedings of the 5th IEEE/ACM International Workshop on Robotics Software Engineering, 2023

Show me What you want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Minimizing the variance in the estimation of the performance of a method for the fully-automatic design of robot swarms: data and sources.
Dataset, May, 2022

Toward an Empirical Practice in Offline Fully Automatic Design of Robot Swarms.
IEEE Trans. Evol. Comput., 2022

AutoMoDe-Mate: Automatic off-line design of spatially-organizing behaviors for robot swarms.
Swarm Evol. Comput., 2022

AutoMoDe-Cedrata: Automatic Design of Behavior Trees for Controlling a Swarm of Robots with Communication Capabilities.
SN Comput. Sci., 2022

Impact of the Update Time on the Aggregation of Robotic Swarms Through Informed Robots.
Proceedings of the From Animals to Animats 16, 2022

Controlling Robot Swarm Aggregation Through a Minority of Informed Robots.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021

AutoMoDe: A Modular Approach to the Automatic Off-Line Design and Fine-Tuning of Control Software for Robot Swarms.
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021

Off-Policy Evaluation of the Performance of a Robot Swarm: Importance Sampling to Assess Potential Modifications to the Finite-State Machine That Controls the Robots.
Frontiers Robotics AI, 2021

Swarm SLAM: Challenges and Perspectives.
Frontiers Robotics AI, 2021

Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms.
Swarm Intell., 2020

Automatic modular design of robot swarms using behavior trees as a control architecture.
PeerJ Comput. Sci., 2020

Iterative improvement in the automatic modular design of robot swarms.
PeerJ Comput. Sci., 2020

Modular automatic design of collective behaviors for robots endowed with local communication capabilities.
PeerJ Comput. Sci., 2020

Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms.
Nat. Mach. Intell., 2020

Phormica: Photochromic Pheromone Release and Detection System for Stigmergic Coordination in Robot Swarms.
Frontiers Robotics AI, 2020

AutoMoDe-Arlequin: Neural Networks as Behavioral Modules for the Automatic Design of Probabilistic Finite-State Machines.
Proceedings of the Swarm Intelligence - 12th International Conference, 2020

2019
ANTS 2018 special issue: Editorial.
Swarm Intell., 2019

Concurrent design of control software and configuration of hardware for robot swarms under economic constraints.
PeerJ Comput. Sci., 2019

Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms.
Frontiers Robotics AI, 2019

Automatic Off-Line Design of Robot Swarms: A Manifesto.
Frontiers Robotics AI, 2019

Random Walk Exploration for Swarm Mapping.
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019

Evaluation of Alternative Exploration Schemes in the Automatic Modular Design of Robot Swarms.
Proceedings of the Artificial Intelligence and Machine Learning, 2019

Comparison of Different Exploration Schemes in the Automatic Modular Design of Robot Swarms.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

AutoMoDe-IcePop: Automatic Modular Design of Control Software for Robot Swarms Using Simulated Annealing.
Proceedings of the Artificial Intelligence and Machine Learning, 2019

Simulated Annealing as an Optimization Algorithm in the Automatic Modular Design of Robot Swarms.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Autonomous task sequencing in a robot swarm.
Sci. Robotics, 2018

Designing control software for robot swarms: software engineering for the development of automatic design methods.
Proceedings of the 1st International Workshop on Robotics Software Engineering, 2018

On Mimicking the Effects of the Reality Gap with Simulation-Only Experiments.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Behavior Trees as a Control Architecture in the Automatic Modular Design of Robot Swarms.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Automatic Design of Communication-Based Behaviors for Robot Swarms.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
Metaheuristic.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Ant Colony Optimization.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

ANTS 2016 special issue: Editorial.
Swarm Intell., 2017

Complexity Measures in Automatic Design of Robot Swarms: An Exploratory Study.
Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

2016
Analysis of long-term swarm performance based on short-term experiments.
Soft Comput., 2016

Automatic Design of Robot Swarms: Achievements and Challenges.
Frontiers Robotics AI, 2016

Observing the Effects of Overdesign in the Automatic Design of Control Software for Robot Swarms.
Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015
Property-Driven Design for Robot Swarms: A Design Method Based on Prescriptive Modeling and Model Checking.
ACM Trans. Auton. Adapt. Syst., 2015

AutoMoDe-Chocolate: automatic design of control software for robot swarms.
Swarm Intell., 2015

ANTS 2014 special issue: Editorial.
Swarm Intell., 2015

The TAM: abstracting complex tasks in swarm robotics research.
Swarm Intell., 2015

Estimation-based metaheuristics for the single vehicle routing problem with stochastic demands and customers.
Comput. Optim. Appl., 2015

Dynamical Properties of Artificially Evolved Boolean Network Robots.
Proceedings of the AI*IA 2015, Advances in Artificial Intelligence, 2015

Augmented reality for robots: Virtual sensing technology applied to a swarm of e-pucks.
Proceedings of the 2015 NASA/ESA Conference on Adaptive Hardware and Systems, 2015

2014
AutoMoDe: A novel approach to the automatic design of control software for robot swarms.
Swarm Intell., 2014

On the sensitivity of reactive tabu search to its meta-parameters.
Soft Comput., 2014

Swarm robotics.
Scholarpedia, 2014

A self-adaptive communication strategy for flocking in stationary and non-stationary environments.
Nat. Comput., 2014

An analysis of parameter adaptation in reactive tabu search.
Int. Trans. Oper. Res., 2014

Task Partitioning in a Robot Swarm: Object Retrieval as a Sequence of Subtasks with Direct Object Transfer.
Artif. Life, 2014

Self-organized task allocation to sequentially interdependent tasks in swarm robotics.
Auton. Agents Multi Agent Syst., 2014

A Swarm Robotics Approach to Task Allocation under Soft Deadlines and Negligible Switching Costs.
Proceedings of the From Animals to Animats 13, 2014

An Experiment in Automatic Design of Robot Swarms - AutoMoDe-Vanilla, EvoStick, and Human Experts.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

Temporal Task Allocation in Periodic Environments - An Approach Based on Synchronization.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013
Task partitioning in a robot swarm: a study on the effect of communication.
Swarm Intell., 2013

On the use of Bio-PEPA for modelling and analysing collective behaviours in swarm robotics.
Swarm Intell., 2013

ANTS 2012 special issue - Editorial.
Swarm Intell., 2013

Swarm robotics: a review from the swarm engineering perspective.
Swarm Intell., 2013

Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms.
IEEE Robotics Autom. Mag., 2013

Dynamical regimes and learning properties of evolved Boolean networks.
Neurocomputing, 2013

Autonomous task partitioning in robot foraging: an approach based on cost estimation.
Adapt. Behav., 2013

Probabilistic Analysis of Long-Term Swarm Performance under Spatial Interferences.
Proceedings of the Theory and Practice of Natural Computing, 2013

Tuning Algorithms for Tackling Large Instances: An Experimental Protocol.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

An analysis of post-selection in automatic configuration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Boolean network robotics as an intermediate step in the synthesis of finite state machines for robot control.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Identification of Dynamical Structures in Artificial Brains: An Analysis of Boolean Network Controlled Robots.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2012
Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms.
Swarm Intell., 2012

ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems.
Swarm Intell., 2012

A critical analysis of parameter adaptation in ant colony optimization.
Swarm Intell., 2012

Costs and benefits of behavioral specialization.
Robotics Auton. Syst., 2012

Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making.
Proceedings of the From Animals to Animats 12, 2012

"Can ants inspire robots?" Self-organized decision making in robotic swarms.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Towards a Formal Verification Methodology for Collective Robotic Systems.
Proceedings of the Formal Methods and Software Engineering, 2012

Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Analysing Robot Swarm Decision-Making with Bio-PEPA.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Property-driven design for swarm robotics.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Parameter Adaptation in Ant Colony Optimization.
Proceedings of the Autonomous Search, 2012

2011
Out-of-the-Box and Custom Implementation of Metaheuristics. A Case Study: The Vehicle Routing Problem with Stochastic Demand.
Proceedings of the Intelligent Computational Optimization in Engineering, 2011

Task partitioning in swarms of robots: an adaptive method for strategy selection.
Swarm Intell., 2011

Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making.
Swarm Intell., 2011

ANTS 2010 special issue - Editorial.
Swarm Intell., 2011

Boolean network robotics: a proof of concept
CoRR, 2011

On the Design of Boolean Network Robots.
Proceedings of the Applications of Evolutionary Computation, 2011

Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Self-organized flocking with an heterogeneous mobile robot swarm.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010
Metaheuristic.
Proceedings of the Encyclopedia of Machine Learning, 2010

Ant Colony Optimization.
Proceedings of the Encyclopedia of Machine Learning, 2010

An analysis of communication policies for homogeneous multi-colony ACO algorithms.
Inf. Sci., 2010

Estimation-based metaheuristics for the probabilistic traveling salesman problem.
Comput. Oper. Res., 2010

Engineering self-coordinating software intensive systems.
Proceedings of the Workshop on Future of Software Engineering Research, 2010

Incremental Social Learning Applied to a Decentralized Decision-Making Mechanism: Collective Learning Made Faster.
Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

Flocking in Stationary and Non-stationary Environments: A Novel Communication Strategy for Heading Alignment.
Proceedings of the Parallel Problem Solving from Nature, 2010

MADS/F-Race: Mesh Adaptive Direct Search Meets F-Race.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Socially-Mediated Negotiation for Obstacle Avoidance in Collective Transport.
Proceedings of the Distributed Autonomous Robotic Systems, 2010

Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Off-line <i>vs.</i> On-line Tuning: A Study on <i>MAX</i>-<i>MIN</i>\mathcal{MAX--MIN} Ant System for the TSP.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Opinion Dynamics for Decentralized Decision-Making in a Robot Swarm.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Self-organized Task Partitioning in a Swarm of Robots.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

"Look out!": Socially-Mediated Obstacle Avoidance in Collective Transport.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

F-Race and Iterated F-Race: An Overview.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
Tuning Metaheuristics - A Machine Learning Perspective
Studies in Computational Intelligence 197, Springer, ISBN: 978-3-642-00482-7, 2009

Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm.
IEEE Trans. Evol. Comput., 2009

Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem.
Swarm Intell., 2009

Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem.
Eur. J. Oper. Res., 2009

Mixed-Effects Modeling of Optimisation Algorithm Performance.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

Interference Reduction through Task Partitioning in a Robotic Swarm - Or: "Don't you Step on My Blue Suede Shoes!".
Proceedings of the ICINCO 2009, 2009

A reliable distributed algorithm for group size estimation with minimal communication requirements.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

2008
Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-Based Local Search for the Probabilistic Travelling Salesman Problem.
Proceedings of the Recent Advances in Evolutionary Computation for Combinatorial Optimization, 2008

The Metaphysical Character of the Criticisms Raised Against the Use of Probability for Dealing with Uncertainty in Artificial Intelligence.
Minds Mach., 2008

Estimation-Based Local Search for Stochastic Combinatorial Optimization Using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem.
INFORMS J. Comput., 2008

Fault detection in autonomous robots based on fault injection and learning.
Auton. Robots, 2008

Reactive Stochastic Local Search Algorithms for the Genomic Median Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008

Lattice Formation in Space for a Swarm of Pico Satellites.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

Enhancing the Cooperative Transport of Multiple Objects.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2008

2007
On the Invariance of Ant Colony Optimization.
IEEE Trans. Evol. Comput., 2007

Swarm intelligence.
Scholarpedia, 2007

How to assess and report the performance of a stochastic algorithm on a benchmark problem: <i>mean</i> or <i>best</i> result on a number of runs?
Optim. Lett., 2007

Implementation Effort and Performance.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2007

Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement.
Proceedings of the Hybrid Metaheuristics, 4th International Workshop, 2007

Exogenous Fault Detection in a Collective Robotic Task.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

Automatic Synthesis of Fault Detection Modules for Mobile Robots.
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

The ACO/F-Race Algorithm for Combinatorial Optimization Under Uncertainty.
Proceedings of the Metaheuristics, 2007

2006
An effective hybrid algorithm for university course timetabling.
J. Sched., 2006

Hybrid Metaheuristics for the Vehicle Routing Problem with Stochastic Demands.
J. Math. Model. Algorithms, 2006

Towards a theory of practice in metaheuristics design: A machine learning perspective.
RAIRO Theor. Informatics Appl., 2006

Ant colony optimization.
IEEE Comput. Intell. Mag., 2006

ACO Applied to Switch Engine Scheduling in a Railroad Yard.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

Parallel Ant Colony Optimization for the Traveling Salesman Problem.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

Negotiation of Goal Direction for Cooperative Transport.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

On the Invariance of Ant System.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

Incremental Local Search in Ant Colony Optimization: Why It Fails for the Quadratic Assignment Problem.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005
The problem of tuning metaheuristics: as seen from the machine learning perspective.
PhD thesis, 2005

The role of learning methods in the dynamic assessment of power components loading capability.
IEEE Trans. Ind. Electron., 2005

An Insect-Based Algorithm for the Dynamic Task Allocation Problem.
Künstliche Intell., 2005

2004
Model-Based Search for Combinatorial Optimization: A Critical Survey.
Ann. Oper. Res., 2004

Applications Metaheuristics for the Vehicle Routing Problem with Stochastic Demands.
Proceedings of the Parallel Problem Solving from Nature, 2004

2002
Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches.
Fuzzy Sets Syst., 2002

A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem.
Proceedings of the Practice and Theory of Automated Timetabling IV, 2002

A Racing Algorithm for Configuring Metaheuristics.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods.
Proceedings of the Applications of Evolutionary Computing, 2002

Invention vs. Discovery.
Proceedings of the Discovery Science, 5th International Conference, 2002

Toward the Formal Foundation of Ant Programming.
Proceedings of the Ant Algorithms, Third International Workshop, 2002

2001
The local paradigm for modeling and control: from neuro-fuzzy to lazy learning.
Fuzzy Sets Syst., 2001

2000
A Model Selection Approach for Local Learning.
AI Commun., 2000

A multi-steap ahead prediction method based on local dynamic properties.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Predicting stock markets in boundary conditions with local models.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1999
Local Learning for Iterated Time-Series Prediction.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Lazy Learning Meets the Recursive Least Squares Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Lazy learning for control design.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Recursive Lazy Learning for Modeling and Control.
Proceedings of the Machine Learning: ECML-98, 1998


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