Antoine Ligot
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Cited by
Year
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
192019
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
172018
Reference models for AutoMoDe
K Hasselmann, A Ligot, G Francesca, M Birattari
Technical report TR/IRIDIA/2018-002, IRIDIA, 2018
122018
On mimicking the effects of the reality gap with simulation-only experiments
A Ligot, M Birattari
International Conference on Swarm Intelligence, 109-122, 2018
112018
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
102020
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
42019
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
32020
Search space for AutoMoDe-Chocolate and AutoMoDe-Maple
J Kuckling, A Ligot, D Bozhinoski, M Birattari
32018
AutoMoDe, NEAT, and EvoStick: implementations for the e-puck robot in ARGoS3
A Ligot, K Hasselmann, B Delhaisse, L Garattoni, G Francesca, M Birattari
Technical report TR/IRIDIA/2017-002, IRIDIA, Université libre de Bruxelles …, 2017
32017
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
22019
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
12017
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
2020
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
2020
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