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Mathematical and Computer Modelling of Dynamical Systems
Methods, Tools and Applications in Engineering and Related Sciences
Volume 18, 2012 - Issue 1: Modelling the swarm – analysing biological and engineered swarm systems
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Original Articles

Interaction of robot swarms using the honeybee-inspired control algorithm BEECLUST

Michael Bodi Department of Zoology, Karl-Franzens Universität Graz, Universitätsplatz 2, A-8010, Graz, AustriaCorrespondence[email protected]
,
Ronald Thenius Department of Zoology, Karl-Franzens Universität Graz, Universitätsplatz 2, A-8010, Graz, Austria
,
Martina Szopek Department of Zoology, Karl-Franzens Universität Graz, Universitätsplatz 2, A-8010, Graz, Austria
,
Thomas Schmickl Department of Zoology, Karl-Franzens Universität Graz, Universitätsplatz 2, A-8010, Graz, Austria
&
Karl Crailsheim Department of Zoology, Karl-Franzens Universität Graz, Universitätsplatz 2, A-8010, Graz, Austria
Pages 87-100 | Received 29 Apr 2011, Accepted 11 May 2011, Published online: 01 Aug 2011

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Rotimi Ogunsakin, Cesar A. Marin & Nikolay Mehandjiev. (2021) Towards engineering manufacturing systems for mass personalisation: a stigmergic approach. International Journal of Computer Integrated Manufacturing 34:4, pages 341-369.
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Articles from other publishers (32)

Aymeric Hénard, Jérémy Rivière, Etienne Peillard, Sébastien Kubicki & Gilles Coppin. (2023) A unifying method-based classification of robot swarm spatial self-organisation behaviours. Adaptive Behavior 31:6, pages 577-599.
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Chuanqi Zheng & Kiju Lee. (2023) Consensus decision-making in artificial swarms via entropy-based local negotiation and preference updating. Swarm Intelligence 17:4, pages 283-303.
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Arash Sadeghi Amjadi, Mohsen Raoufi & Ali Emre Turgut. (2021) A self-adaptive landmark-based aggregation method for robot swarms. Adaptive Behavior 30:3, pages 223-236.
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Toru Miura, Kohei Oguchi, Haruka Yamaguchi, Mayuko Nakamura, Daisuke Sato, Kenta Kobayashi, Nobuyuki Kutsukake, Kyoko Miura, Yoshinobu Hayashi, Masaru Hojo, Kiyoto Maekawa, Shuji Shigenobu, Takeshi Kano & Akio Ishiguro. (2022) Understanding of superorganisms: collective behavior, differentiation and social organization. Artificial Life and Robotics 27:2, pages 204-212.
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Hian Lee Kwa , Jabez Leong Kit  & Roland Bouffanais . (2022) Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review. Frontiers in Robotics and AI 8.
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Oscar Acevedo, Y. Yuliana Rios, Jorge Duque, Eduardo Gomez & Luis García. 2022. Applied Computer Sciences in Engineering. Applied Computer Sciences in Engineering 386 399 .
M. H. A. Majid, M. R. Arshad & R. M. Mokhtar. 2022. Control Engineering in Robotics and Industrial Automation. Control Engineering in Robotics and Industrial Automation 99 167 .
Nicolas Cambier, Dario Albani, Vincent Frémont, Vito Trianni & Eliseo Ferrante. (2021) Cultural evolution of probabilistic aggregation in synthetic swarms. Applied Soft Computing 113, pages 108010.
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Sean Lim, Shiyi Wang, Barry Lennox & Farshad Arvin. (2021) BeeGround - An Open-Source Simulation Platform for Large-Scale Swarm Robotics Applications. BeeGround - An Open-Source Simulation Platform for Large-Scale Swarm Robotics Applications.
Melanie Schranz, Gianni A. Di Caro, Thomas Schmickl, Wilfried Elmenreich, Farshad Arvin, Ahmet Şekercioğlu & Micha Sende. (2021) Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends. Swarm and Evolutionary Computation 60, pages 100762.
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Arash Sadeghi Amjadi, Mohsen Raoufi, Ali Emre Turgut, George Broughton, Tomáš Krajník & Farshad Arvin. 2021. Collaborative Computing: Networking, Applications and Worksharing. Collaborative Computing: Networking, Applications and Worksharing 469 481 .
Shiyi Wang, Ali E. Turgut, Thomas Schmickl, Barry Lennox & Farshad Arvin. 2021. Collaborative Computing: Networking, Applications and Worksharing. Collaborative Computing: Networking, Applications and Worksharing 18 36 .
Beritan Can & Şakir Esnaf. 2021. Digital Conversion on the Way to Industry 4.0. Digital Conversion on the Way to Industry 4.0 389 397 .
Takeshi KanoEiichi Naito, Takenobu Aoshima & Akio Ishiguro. (2020) Decentralized Control for Swarm Robots That Can Effectively Execute Spatially Distributed Tasks. Artificial Life 26:2, pages 242-259.
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Thomas Schmickl, Martina Szopek, Gerald Radspieler, Michael Bodi, Sarah Schönwetter-Fuchs, Ziad Salem, Martin Stefanec, Ronald Thenius & Sibylle Hahshold. 2020. Handbuch Virtualität. Handbuch Virtualität 629 651 .
Thomas Schmickl, Martina Szopek, Gerald Radspieler, Michael Bodi, Sarah Schönwetter-Fuchs, Ziad Salem, Martin Stefanec, Ronald Thenius & Sibylle Hahshold. 2018. Handbuch Virtualität. Handbuch Virtualität 1 23 .
Chloe Fleming & Julie A. Adams. 2019. Distributed Autonomous Robotic Systems. Distributed Autonomous Robotic Systems 79 94 .
Farshad Arvin, Ali Emre Turgut, Tomas Krajnik, Salar Rahimi, Ilkin Ege Okay, Shigang Yue, Simon Watson & Barry Lennox. (2018) <tex>$\Phi$</tex> Clust: Pheromone-Based Aggregation for Robotic Swarms. <tex>$\Phi$</tex> Clust: Pheromone-Based Aggregation for Robotic Swarms.
Belkacem Khaldi, Fouzi Harrou, Foudil Cherif & Ying Sun. (2018) Self-organization in aggregating robot swarms: A DW-KNN topological approach. Biosystems 165, pages 106-121.
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Rotimi Ogunsakin, Nikolay Mehandjiev & César A. Marín. 2018. From Animals to Animats 15. From Animals to Animats 15 250 264 .
Heiko HamannHeiko Hamann. 2018. Swarm Robotics: A Formal Approach. Swarm Robotics: A Formal Approach 163 177 .
Heiko HamannHeiko Hamann. 2018. Swarm Robotics: A Formal Approach. Swarm Robotics: A Formal Approach 1 32 .
Mordechai Ben-Ari & Francesco MondadaMordechai Ben-Ari & Francesco Mondada. 2018. Elements of Robotics. Elements of Robotics 251 265 .
Nicolas Cambier, Vincent Frémont, Vito Trianni & Eliseo Ferrante. 2018. Swarm Intelligence. Swarm Intelligence 351 359 .
Gabriele Valentini & Heiko Hamann. (2015) Time-variant feedback processes in collective decision-making systems: influence and effect of dynamic neighborhood sizes. Swarm Intelligence 9:2-3, pages 153-176.
Crossref
Michael Bodi, Christoph Möslinger, Ronald Thenius & Thomas Schmickl. (2015) BEECLUST used for exploration tasks in Autonomous Underwater Vehicles. IFAC-PapersOnLine 48:1, pages 819-824.
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Daniela Kengyel, Heiko Hamann, Payam Zahadat, Gerald Radspieler, Franz Wotawa & Thomas Schmickl. 2015. PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015: Principles and Practice of Multi-Agent Systems 201 217 .
Farshad Arvin, John C. Murray, Licheng Shi, Chun Zhang & Shigang Yue. (2014) Development of an autonomous micro robot for swarm robotics. Development of an autonomous micro robot for swarm robotics.
Farshad Arvin, John Murray, Chun Zhang & Shigang Yue. (2014) Colias: An Autonomous Micro Robot for Swarm Robotic Applications. International Journal of Advanced Robotic Systems 11:7, pages 113.
Crossref
Sabine Konzmann & Klaus Lunau. (2014) Divergent Rules for Pollen and Nectar Foraging Bumblebees ? A Laboratory Study with Artificial Flowers Offering Diluted Nectar Substitute and Pollen Surrogate. PLoS ONE 9:3, pages e91900.
Crossref
Toshifumi Kimura, Mizue Ohashi, Karl Crailsheim, Thomas Schmickl, Ryuichi Okada, Gerald Radspieler & Hidetoshi Ikeno. (2014) Development of a New Method to Track Multiple Honey Bees with Complex Behaviors on a Flat Laboratory Arena. PLoS ONE 9:1, pages e84656.
Crossref
Martina Szopek, Thomas Schmickl, Ronald Thenius, Gerald Radspieler & Karl Crailsheim. (2013) Dynamics of Collective Decision Making of Honeybees in Complex Temperature Fields. PLoS ONE 8:10, pages e76250.
Crossref

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