Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Antoine Ligot"'
Autor:
Antoine Ligot, Mauro Birattari
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-18 (2022)
Abstract The discrepancy between simulation and reality–known as the reality gap–is one of the main challenges associated with using simulations to design control software for robot swarms. Currently, the reality-gap problem necessitates expensiv
Externí odkaz:
https://doaj.org/article/056f1fdf7b754a9c93b730284ef0e6f6
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Off-line neuro-evolution produces robot swarms whose good performance in simulation does not often transfer to the real word. With an extensive empirical study, Hasselmann et al. substantiate overfitting as the dominant cause.
Externí odkaz:
https://doaj.org/article/d3ec80f81eaf4edb9cabe5d2a8fda60d
Publikováno v:
PeerJ Computer Science, Vol 6, p e314 (2020)
We investigate the possibilities, challenges, and limitations that arise from the use of behavior trees in the context of the automatic modular design of collective behaviors in swarm robotics. To do so, we introduce Maple, an automatic design method
Externí odkaz:
https://doaj.org/article/3b0d7ca0b2434a2d811f4fba048feb6b
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Complexity measures and information theory metrics in general have recently been attracting the interest of multi-agent and robotics communities, owing to their capability of capturing relevant features of robot behaviors, while abstracting from impl
Externí odkaz:
https://doaj.org/article/a8f97c20f86d4124acee09b7ebe3502b
Publikováno v:
PeerJ Computer Science, Vol 5, p e221 (2019)
Designing a robot swarm is challenging due to its self-organized and distributed nature: complex relations exist between the behavior of the individual robots and the collective behavior that results from their interactions. In this paper, we study t
Externí odkaz:
https://doaj.org/article/7ccd643b10e3413caae808025a90faf6
Autor:
Mauro Birattari, Antoine Ligot, Darko Bozhinoski, Manuele Brambilla, Gianpiero Francesca, Lorenzo Garattoni, David Garzón Ramos, Ken Hasselmann, Miquel Kegeleirs, Jonas Kuckling, Federico Pagnozzi, Andrea Roli, Muhammad Salman, Thomas Stützle
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Designing collective behaviors for robot swarms is a difficult endeavor due to their fully distributed, highly redundant, and ever-changing nature. To overcome the challenge, a few approaches have been proposed, which can be classified as manual, sem
Externí odkaz:
https://doaj.org/article/25062b53f32b461abea37a38502c2fad
Publikováno v:
Nature Machine Intelligence
Nature Machine Intelligence, 2 (9
Nature Machine Intelligence, 2 (9
Optimization-based design is an effective and promising approach to realizing collective behaviours for robot swarms. Unfortunately, the domain literature often remains vague about the exact role played by the human designer, if any. It is our conten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85ca5fdf5af34ce583f76c693c963de9
https://doi.org/10.1038/s42256-020-0215-0
https://doi.org/10.1038/s42256-020-0215-0
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, 6
PeerJ Computer Science, Vol 6, p e314 (2020)
PeerJ Computer Science, 6
PeerJ Computer Science, Vol 6, p e314 (2020)
We investigate the possibilities, challenges, and limitations that arise from the use of behavior trees in the context of the automatic modular design of collective behaviors in swarm robotics. To do so, we introduceMaple, an automatic design method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e3fc054d73b0d4cb1abef9fe4060cec
http://europepmc.org/articles/PMC7924474
http://europepmc.org/articles/PMC7924474
Publikováno v:
PeerJ Computer Science, Vol 5, p e221 (2019)
PeerJ Computer Science
PeerJ Computer Science, 5
PeerJ Computer Science
PeerJ Computer Science, 5
Designing a robot swarm is challenging due to its self-organized and distributed nature: complex relations exist between the behavior of the individual robots and the collective behavior that results from their interactions. In this paper, we study t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aee63f1b598667bced5546ca74896b7b
https://peerj.com/articles/cs-221/
https://peerj.com/articles/cs-221/
Publikováno v:
Artificial Life and Evolutionary Computation
Communications in Computer and Information Science ISBN: 9783319786575
WIVACE
Communications in computer and information science, 830
Communications in Computer and Information Science
Communications in Computer and Information Science-Artificial Life and Evolutionary Computation
Communications in Computer and Information Science ISBN: 9783319786575
WIVACE
Communications in computer and information science, 830
Communications in Computer and Information Science
Communications in Computer and Information Science-Artificial Life and Evolutionary Computation
The design of control software for robot swarms is a challenging endeavour as swarm behaviour is the outcome of the entangled interplay between the dynamics of the individual robots and the interactions among them. Automatic design techniques are a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9982d4ab6976adaac42c07eb9de3559