ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems
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Current approaches to microrobots and nanorobots are not exploiting conventional hardware but are rather made of active colloidal particles, soft-bodied (biological) robots, bacteria-powered nanomachines, and even controllable genetically engineered organisms.
“Current approaches to microrobots and nanorobots are not exploiting conventional hardware but are rather made of active colloidal particles [77], soft-bodied (biological) robots [78], bacteria-powered nanomachines [79], [80], and even controllable genetically engineered organisms [81].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [78]
Cites
Cyberbotics Ltd. Webots <sup>™</sup> : Professional Mobile Robot Simulation
Michel, O. (2004) · International Journal of Advanced Robotic Systems · doi:10.5772/5618 · Cited by 1,261 · see citing works
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Swarm Robotics: Past, Present, and Future [Point of View]
Dorigo, M., Theraulaz, G., & Trianni, V. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3072740 · Cited by 401 · see citing works
Self-citationAutoMoDe: A novel approach to the automatic design of control software for robot swarms
Francesca, G., Brambilla, M., Brutschy, A., Trianni, V., & Birattari, M. (2014) · Swarm Intelligence · doi:10.1007/s11721-014-0092-4 · Cited by 171 · see citing works
Self-citationStrobel, V., Castelló Ferrer, E., & Dorigo, M. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00054 · Cited by 127 · see citing works
Self-citationAutoMoDe-Chocolate: automatic design of control software for robot swarms
Francesca, G., Brambilla, M., Brutschy, A., Garattoni, L., Miletitch, R., Podevijn, G., Reina, A., Soleymani, T., Salvaro, M., Pinciroli, C., et al. (2015) · Swarm Intelligence · doi:10.1007/s11721-015-0107-9 · Cited by 99 · see citing works
Self-citationSophisticated collective foraging with minimalist agents: a swarm robotics test
Talamali, M. S., Bose, T., Haire, M., Xu, X., Marshall, J. A. R., & Reina, A. (2020) · Swarm Intelligence · doi:10.1007/s11721-019-00176-9 · Cited by 70 · see citing works
Brambilla, M., Brutschy, A., Dorigo, M., & Birattari, M. (2015) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/2700318 · Cited by 66 · see citing works
Self-citationLigot, A., & Birattari, M. (2020) · Swarm Intelligence · doi:10.1007/s11721-019-00175-w · Cited by 55 · see citing works
Self-citationHasselmann, K., Ligot, A., Ruddick, J., & Birattari, M. (2021) · Nature Communications · doi:10.1038/s41467-021-24642-3 · Cited by 53 · see citing works
Self-citationGesturing at Subswarms: Towards Direct Human Control of Robot Swarms
Podevijn, G., O’Grady, R., Nashed, Y. S. G., & Dorigo, M. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-43645-5_41 · Cited by 31 · see citing works
Self-citationAutomatic Design of Collective Behaviors for Robots that Can Display and Perceive Colors
Garzón Ramos, D., & Birattari, M. (2020) · Applied Sciences · doi:10.3390/app10134654 · Cited by 26 · see citing works
Self-citationAutomatic design of stigmergy-based behaviours for robot swarms
Salman, M., Garzón Ramos, D., & Birattari, M. (2024) · Communications Engineering · doi:10.1038/s44172-024-00175-7 · Cited by 26 · see citing works
“The evolutionary process is based on simulations executed in ARGoS3 with the argos3-epuck-phormica library — same setting as Habanero .”
MethodInfluentialSelf-citationHasselmann, K., & Birattari, M. (2020) · PeerJ Computer Science · doi:10.7717/peerj-cs.291 · Cited by 15 · see citing works
Self-citationAutoMoDe-Mate: Automatic off-line design of spatially-organizing behaviors for robot swarms
Mendiburu, F. J., Garzón Ramos, D., Morais, M. R. A., Lima, A. M. N., & Birattari, M. (2022) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2022.101118 · Cited by 15 · see citing works
Self-citationAbdel-Nasser, M., El-Ferik, S., Rashad, R., & Saif, A.-W. A. (2025) · Robotics · doi:10.3390/robotics14120192 · Cited by 5 · see citing works
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
Strobel, V., Dorigo, M., & Fritz, M. (2024) · arXiv · doi:10.48550/arxiv.2410.11387 · Cited by 4 · see citing works
“In our showcases, we simulate Pi-puck robots using the widely-used robot swarm simulator AR-GoS [34] (version 3.0.0-beta56) on a personal computer (OS: Ubuntu 22.04.4 LTS, CPU: Intel Core i7-8550U @ 1.80 GHz, RAM: 16 GB, GPU: Intel UHD Graphics 620).”
MethodInfluentialSelf-citation
- Authors
- Pinciroli, C., Trianni, V., O’Grady, R., Pini, G., Brutschy, A., Brambilla, M., Mathews, N., Ferrante, E., Di Caro, G., Ducatelle, F., Birattari, M., Gambardella, L. M., & Dorigo, M.
- Affiliations
- Université Libre de Bruxelles (BE)
- National Research Council (IT)
- University of Applied Sciences and Arts of Southern Switzerland (CH)
- Corresponding author
- Pinciroli, Carlo
- ORCID
- Venue
- Swarm Intelligence
- Published
- 2012-11-16
- Volume
- 6
- Issue
- 4
- Pages
- 271-295
- ISSN
- 1935-3812 (ISSN-L)
- 1935-3820
- OpenAlex
- W2017150251
- Cited by
- 551
- References
- 1
- Citations by year
- 2026: 26 · 2025: 37 · 2024: 40 · 2023: 52 · 2022: 59 · 2021: 47 · 2020: 71 · 2019: 60 · 2018: 49 · 2017: 21 · 2016: 25 · 2015: 21 · 2014: 20 · 2013: 21 · 2012: 2
- FWCI
- 31.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Swarm Intelligence (publishedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- European Commission
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Physical Sciences › Engineering › Ocean Engineering › Evacuation and Crowd Dynamics
- Keywords
- Argos, multi-robot simulation, multi-robot systems, swarm robotics, parallel simulation, multithreaded architecture, modular simulation architecture, scalability, e-puck robots, simulation efficiency
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