Výsledky vyhledávání - "Arne Brutschy"

AutoMoDe-Chocolate: automatic design of control software for robot swarms

Autor: Vito Trianni, Andreagiovanni Reina, Touraj Soleymani, Arne Brutschy, Lorenzo Garattoni, Gianpiero Francesca, Franco Mascia, Roman Miletitch, Mauro Birattari, Manuele Brambilla, Mattia Salvaro, Carlo Pinciroli, Gaëtan Podevijn

Publikováno v: Swarm intelligence (Online) 9 (2015): 125–152. doi:10.1007/s11721-015-0107-9
info:cnr-pdr/source/autori:Francesca G.; Brambilla M.; Brutschy A.; Garattoni L.; Miletitch R.; Podevijn G.; Reina A.; Soleymani T.; Salvaro M.; Pinciroli C.; Mascia F.; Trianni V.; Birattari M./titolo:AutoMoDe-Chocolate: automatic design of control software for robot swarms/doi:10.1007%2Fs11721-015-0107-9/rivista:Swarm intelligence (Online)/anno:2015/pagina_da:125/pagina_a:152/intervallo_pagine:125–152/volume:9

We present two empirical studies on the design of control software for robot swarms. In Study A, Vanilla and EvoStick, two previously published automatic design methods, are compared with human designers. The comparison is performed on five swarm rob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef70250bfb3623b28358ae915b0f2ce5
https://doi.org/10.1007/s11721-015-0107-9

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The TAM: abstracting complex tasks in swarm robotics research

Autor: Marco Dorigo, Mauro Birattari, Arne Brutschy, Giovanni Pini, Lorenzo Garattoni, Manuele Brambilla, Gianpiero Francesca

Publikováno v: Swarm Intelligence. 9:1-22

Research in swarm robotics focuses mostly on how robots interact and cooperate to perform tasks, rather than on the details of task execution. As a consequence, researchers often consider abstract tasks in their experimental work. For example, foragi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a9bf9150a82f5721a0c2687d53d3dfe
https://doi.org/10.1007/s11721-014-0102-6

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Spatially targeted communication in decentralized multirobot systems

Autor: Marco Dorigo, Gabriele Valentini, Anders Lyhne Christensen, Rehan O'Grady, Arne Brutschy, Nithin Mathews

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Spatially targeted communication (STC) allows a message sender to choose message recipients based on their location in space. Currently, STC in multirobot systems is limited to centralized systems. In this paper, we propose a novel communication prot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71252bd8bcc693a79749023b029ccda2
https://doi.org/10.1007/s10514-015-9423-6

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Property-Driven Design for Robot Swarms

Autor: Arne Brutschy, Marco Dorigo, Mauro Birattari, Manuele Brambilla

Publikováno v: ACM Transactions on Autonomous and Adaptive Systems. 9:1-28

In this article, we present property-driven design, a novel top-down design method for robot swarms based on prescriptive modeling and model checking. Traditionally, robot swarms have been developed using a code-and-fix approach: in a bottom-up itera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2f9114a14461799827771e09d3295aef
https://doi.org/10.1145/2700318

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AutoMoDe: A novel approach to the automatic design of control software for robot swarms

Autor: Arne Brutschy, Mauro Birattari, Manuele Brambilla, Vito Trianni, Gianpiero Francesca

Publikováno v: Swarm Intelligence
Swarm intelligence 8 (2014): 89–112. doi:10.1007/s11721-014-0092-4
info:cnr-pdr/source/autori:Francesca, Gianpiero; Brambilla, Manuele; Brutschy, Arne; Trianni, Vito; Birattari, Mauro/titolo:AutoMoDe: A novel approach to the automatic design of control software for robot swarms/doi:10.1007%2Fs11721-014-0092-4/rivista:Swarm intelligence/anno:2014/pagina_da:89/pagina_a:112/intervallo_pagine:89–112/volume:8

We introduce AutoMoDe: a novel approach to the automatic design of control software for robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in machine learning for dealing with the bias-variance tradedoff: to obtain suitably

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f26cd6fd6d5c2c72d867ab684befeb8
https://doi.org/10.1007/s11721-014-0092-4

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Autonomous task partitioning in robot foraging: an approach based on cost estimation

Autor: Carlo Pinciroli, Arne Brutschy, Marco Dorigo, Mauro Birattari, Giovanni Pini

Publikováno v: Adaptive Behavior

We propose an approach for autonomous task partitioning in swarms of foraging robots. Task partitioning is the process of decomposing tasks into sub-tasks. Task partitioning impacts tasks execution and associated costs. Our approach is characterized

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692872089c9537864079b940768eec2b
https://doi.org/10.1177/1059712313484771

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Self-organized task allocation to sequentially interdependent tasks in swarm robotics

Autor: Marco Dorigo, Giovanni Pini, Arne Brutschy, Carlo Pinciroli, Mauro Birattari

Publikováno v: Autonomous Agents and Multi-Agent Systems

In this article we present a self-organized method for allocating the individuals of a robot swarm to tasks that are sequentially interdependent. Tasks that are sequentially interdependent are common in natural and artificial systems. The proposed me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f4aab47355a7fe522509b24139497d3
https://doi.org/10.1007/s10458-012-9212-y

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The k -Unanimity Rule for Self-Organized Decision-Making in Swarms of Robots

Autor: Arne Brutschy, Marco Dorigo, Eliseo Ferrante, Alexander Scheidler

Publikováno v: IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics, IEEE, 2016, 46 (5), pp.1175-1188. ⟨10.1109/TCYB.2015.2429118⟩

International audience; In this paper, we propose a collective decision-making method for swarms of robots. The method enables a robot swarm to select, from a set of possible actions, the one that has the fastest mean execution time. By means of posi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf5779011d5915475eb6944bc062829d
https://pubmed.ncbi.nlm.nih.gov/27093717

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ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems

Autor: Rehan O'Grady, Marco Dorigo, Arne Brutschy, Gianni A. Di Caro, Eliseo Ferrante, Frederick Ducatelle, Mauro Birattari, Manuele Brambilla, Vito Trianni, Nithin Mathews, Giovanni Pini, Carlo Pinciroli, Luca Maria Gambardella

Publikováno v: Swarm Intelligence
Swarm intelligence (Online) 6 (2012): 271–295. doi:10.1007/s11721-012-0072-5
info:cnr-pdr/source/autori:Pinciroli, Carlo; Trianni, Vito; O'Grady, Rehan; Pini, Giovanni; Brutschy, Arne; Brambilla, Manuele; Mathews, Nithin; Ferrante, Eliseo; Di Caro, Gianni; Ducatelle, Frederic; Birattari, Mauro; Gambardella, Luca Maria; Dorigo, Marco/titolo:ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems/doi:10.1007%2Fs11721-012-0072-5/rivista:Swarm intelligence (Online)/anno:2012/pagina_da:271/pagina_a:295/intervallo_pagine:271–295/volume:6

We present a novel multi-robot simulator named ARGoS. ARGoS is designed to simulate complex experiments involving large swarms of robots of different types. ARGoS is the first multi-robot simulator that is at the same time both efficient (fast perfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5346afa999336405207c5a5ad74949d
https://doi.org/10.1007/s11721-012-0072-5

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Task partitioning in swarms of robots: an adaptive method for strategy selection

Autor: Andrea Roli, Marco Dorigo, Marco Frison, Mauro Birattari, Giovanni Pini, Arne Brutschy

Publikováno v: Swarm Intelligence

Task partitioning is the decomposition of a task into two or more sub-tasks that can be tackled separately. Task partitioning can be observed in many species of social insects, as it is often an advantageous way of organizing the work of a group of i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfda8f74c31ecc6bca090a8b3815cf58
https://doi.org/10.1007/s11721-011-0060-1

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