{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T12:02:29Z","timestamp":1785758549471,"version":"3.56.0"},"reference-count":189,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T00:00:00Z","timestamp":1749772800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Robot. AI"],"abstract":"<jats:p>Swarm robotics addresses the design, deployment, and analysis of large groups of robots that collaborate to perform tasks in a decentralized manner. Research in this field has predominantly relied on simulations or small-scale robots with limited sensing, actuation, and computational capabilities. Consequently, despite significant advancements, swarm robotics has yet to see widespread commercial or industrial application. A major barrier to practical deployment is the lack of affordable, modern, and robust platforms suitable for real-world scenarios. Moreover, a narrow definition of what swarm robotics should be has restricted the scope of potential applications. In this paper, we argue that the development of more advanced robotic platforms\u2014incorporating state-of-the-art technologies such as SLAM, computer vision, and reliable communication systems\u2014and the adoption of a broader interpretation of swarm robotics could significantly expand its range of applicability. This would enable robot swarms to tackle a wider variety of real-world tasks and integrate more effectively with existing systems, ultimately paving the way for successful deployment.<\/jats:p>","DOI":"10.3389\/frobt.2025.1607978","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T04:10:27Z","timestamp":1749787827000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Towards applied swarm robotics: current limitations and enablers"],"prefix":"10.3389","volume":"12","author":[{"given":"Miquel","family":"Kegeleirs","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mauro","family":"Birattari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1109\/LRA.2021.3057567","article-title":"Self-organised saliency detection and representation in robot swarms","volume":"6","author":"Alhafnawi","year":"2021","journal-title":"IEEE Robotics Automation Lett."},{"key":"B2","first-page":"6882","article-title":"Mosaix: a swarm of robot tiles for social human-swarm interaction","volume-title":"Icra 2022","author":"Alhafnawi","year":"2022"},{"key":"B3","first-page":"243","article-title":"The Pi-puck ecosystem: hardware and software support for the e-puck and e-puck2","volume-title":"Ants 2020","author":"Allen","year":"2020"},{"key":"B4","doi-asserted-by":"publisher","first-page":"126558","DOI":"10.1016\/j.neucom.2023.126558","article-title":"Multi-camera multi-object tracking: a review of current trends and future advances","volume":"552","author":"Amosa","year":"2023","journal-title":"Neurocomputing"},{"key":"B5","article-title":"Operative guide for 4-wheel Summit XL mobile robot set-up","volume":"5","author":"Arregi","year":"2023","journal-title":"Acta Sci. 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