3-D relative positioning sensor for indoor flying robots

Autor: James F. Roberts, Jean-Christophe Zufferey, Dario Floreano, Timothy Stirling

Publikováno v: Autonomous Robots

Swarms of indoor flying robots are promising for many applications, including searching tasks in collapsing buildings, or mobile surveillance and monitoring tasks in complex man-made structures. For tasks that employ several flying robots, spatial-co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e0bf654e976fceca5dcfa30f3c2be71

Swarmanoid: A novel concept for the study of heterogeneous robotic swarms

Autor: Marco Dorigo, Marco A. Montes de Oca, Philippe Rétornaz, Tarek Baaboura, Nithin Mathews, Timothy Stirling, Rehan O'Grady, Thomas Stützle, Ali Emre Turgut, Valentin Longchamp, Dario Floreano, Gianni A. Di Caro, Carlo Pinciroli, Jerome Guzzi, Francesco Mondada, Antal Decugniere, Mauro Birattari, Vito Trianni, Alessandro Stranieri, Frederick Ducatelle, Anders Lyhne Christensen, Stéphane Magnenat, Elio Tuci, Florian Vaussard, Eliseo Ferrante, Giovanni Pini, Luca Maria Gambardella, Daniel Burnier, Alexander Förster, James F. Roberts, Stefano Nolfi, Javier Martinez Gonzales, Valerio Sperati, Manuele Brambilla, Michael Bonani, Alexandre Campo, Arne Brutschy

Publikováno v: IEEE robotics & automation magazine 20 (2013): 60–71. doi:10.1109/MRA.2013.2252996
info:cnr-pdr/source/autori:Dorigo M.; Floreano D.; Gambardella L.M.; Mondada F.; Nolfi S.; Baaboura T.; Birattari M.; Bonani M.; Brambilla M.; Brutschy A.; Burnier D.; Campo A.; Christensen A.L.; Decugniere A.; Di Caro G.; Ducatelle F.; Ferrante E.; Forster A.; Gonzales J.M.; Guzzi J.; Longchamp V.; Magnenat S.; Mathews N.; Montes De Oca M.; O'Grady R.; Pinciroli C.; Pini G.; Retornaz P.; Roberts J.; Sperati V.; Stirling T.; Stranieri A.; Stutzle T.; Trianni V.; Tuci E.; Turgut A.E.; Vaussard F./titolo:Swarmanoid: A novel concept for the study of heterogeneous robotic swarms/doi:10.1109%2FMRA.2013.2252996/rivista:IEEE robotics & automation magazine/anno:2013/pagina_da:60/pagina_a:71/intervallo_pagine:60–71/volume:20
IEEE Robotics & Automation Magazine
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
IEEE robotics & automation magazine, 20 (4

Swarm robotics systems are characterized by decentralized control, limited communication between robots, use of local information, and emergence of global behavior. Such systems have shown their potential for flexibility and robustness [1]-[3]. Howev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94af39f176b8b8a26ed648e064887869

ARGoS: a modular, multi-engine simulator for heterogeneous swarm robotics

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

Publikováno v: International Conference on Intelligent Robots and Systems (IROS) | International Conference on Intelligent Robots and Systems (IROS) | 25/09/2011-30/09/2011 | San Francisco, California
Archivo Digital UPM
Universidad Politécnica de Madrid
IROS
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
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, Frederick; Stirling, Timothy; Gutierrez, Alvaro; Gambardella, Luca Maria; Dorigo, Marco/congresso_nome:2011 IEEE%2FRSJ International Conference on Intelligent Robots and Systems/congresso_luogo:/congresso_data:2011/anno:2011/pagina_da:/pagina_a:/intervallo_pagine

We present ARGoS, a novel open source multi-robot simulator. The main design focus of ARGoS is the real-time simulation of large heterogeneous swarms of robots. Existing robot simulators obtain scalability by imposing limitations on their extensibili

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::235f6cc0f4dee16928bfd27e5b2f2352
https://oa.upm.es/19283/

Energy Efficient Swarm Deployment for Search in Unknown Environments

Autor: Timothy Stirling, Dario Floreano

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642154607
ANTS Conference

This paper introduces three strategies to deploy a swarm of robots in unknown environments for a search task, aiming to reduce the total swarm energy cost with rapid operation for applications such as disaster mitigation. We are motivated by current

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8c4f7bee34fe3b2d72e49191f701b68
https://infoscience.epfl.ch/record/150047