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Antoine Ligot
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Automatic off-line design of robot swarms: a manifesto
M Birattari, A Ligot, D Bozhinoski, M Brambilla, G Francesca, L Garattoni, ...
Frontiers in Robotics and AI 6, 59, 2019
512019
Behavior trees as a control architecture in the automatic modular design of robot swarms
J Kuckling, A Ligot, D Bozhinoski, M Birattari
International Conference on Swarm Intelligence, 30-43, 2018
422018
Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms
A Ligot, M Birattari
Swarm Intelligence 14 (1), 1-24, 2020
312020
Reference models for AutoMoDe
K Hasselmann, A Ligot, G Francesca, M Birattari
IRIDIA, Institut de Recherches Interdisciplinaires et de Développements en …, 2019
282019
Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms
M Birattari, A Ligot, K Hasselmann
Nature Machine Intelligence 2 (9), 494-499, 2020
202020
Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms
K Hasselmann, A Ligot, J Ruddick, M Birattari
Nature communications 12 (1), 1-11, 2021
182021
On mimicking the effects of the reality gap with simulation-only experiments
A Ligot, M Birattari
International Conference on Swarm Intelligence, 109-122, 2018
182018
Concurrent design of control software and configuration of hardware for robot swarms under economic constraints
M Salman, A Ligot, M Birattari
PeerJ Computer Science 5, e221, 2019
152019
AutoMoDe: a modular approach to the automatic off-line design and fine-tuning of control software for robot swarms
M Birattari, A Ligot, G Francesca
Automated Design of Machine Learning and Search Algorithms, 73-90, 2021
112021
Automatic modular design of robot swarms using behavior trees as a control architecture
A Ligot, J Kuckling, D Bozhinoski, M Birattari
PeerJ Computer Science 6, e314, 2020
102020
AutoMoDe-Arlequin: Neural Networks as Behavioral Modules for the Automatic Design of Probabilistic Finite-State Machines
A Ligot, K Hasselmann, M Birattari
International Conference on Swarm Intelligence, 271-281, 2020
102020
Search space for AutoMoDe-Chocolate and AutoMoDe-Maple
J Kuckling, A Ligot, D Bozhinoski, M Birattari
Technical report TR/IRIDIA/2018-012, IRIDIA, Université Libre de Bruxelles …, 2018
62018
Towards an Empirical Practice in Off-line Fully-automatic Design of Robot Swarms
A Ligot, A Cotorruelo, E Garone, M Birattari
IEEE Transactions on Evolutionary Computation, 2022
52022
Complexity measures: open questions and novel opportunities in the automatic design and analysis of robot swarms
A Roli, A Ligot, M Birattari
Frontiers in Robotics and AI 6, 130, 2019
52019
Automatic off-line design of robot swarms: a manifesto. Front. Robot. AI 6, 59 (2019)
M Birattari, A Ligot, D Bozhinoski, M Brambilla, G Francesca, L Garattoni, ...
52019
AutoMoDe, NEAT, and EvoStick: implementations for the e-puck robot in ARGoS3
A Ligot, K Hasselmann, B Delhaisse, L Garattoni, G Francesca, M Birattari
IRIDIA, Institut de Recherches Interdisciplinaires et de Développements en …, 2018
52018
Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms. Swarm Intell. 14 (1), 1–24 (2019)
A Ligot, M Birattari
4
The automatic off-line design of robot swarms: recent advances and perspectives
DG Ramos, D Bozhinoski, G Francesca, L Garattoni, K Hasselmann, ...
R2T2: Robotics Research for Tomorrow’s Technology, 2021
2*2021
Complexity measures in automatic design of robot swarms: an exploratory study
A Roli, A Ligot, M Birattari
Italian Workshop on Artificial Life and Evolutionary Computation, 243-256, 2017
22017
Minimizing the variance in the estimation of the performance of a method for the fully-automatic design of robot swarms: a mathematical proof
A Cotorruelo Jiménez, A Ligot, E Garone, M Birattari
IRIDIA Technical Report Series, 2021
2021
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