{"id":19833,"date":"2025-06-09T06:11:03","date_gmt":"2025-06-09T04:11:03","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categoria\/creating-advanced-tools-for-smart-robot-swarms\/"},"modified":"2025-06-08T18:29:37","modified_gmt":"2025-06-08T16:29:37","slug":"creating-advanced-tools-for-smart-robot-swarms","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/en\/robotics\/creating-advanced-tools-for-smart-robot-swarms","title":{"rendered":"Creating advanced tools for smart robot swarms"},"content":{"rendered":"

The SMARTEDGE project is using edge AI to transform autonomous robot collaboration and communication in factories and more<\/p>\n

Since its launch in January 2023, the EU-funded SMARTEDGE<\/a> project has been creating tools and methods that facilitate the development of edge intelligence solutions for real-world scenarios. Taking advantage of edge computing and the Internet of things to tackle challenges and optimise processes, the project is testing these methods and tools in smart factories, health monitoring, road intersection safety, manufacturing innovation and driving assistance.<\/p>\n

One of these tools is smart swarm networks currently being developed in a lab at SMARTEDGE project coordinator National Inter-University Consortium for Telecommunications in Italy. At the lab, which emulates a factory floor at Dell Technologies, lead researcher Filippo Cugini and his colleagues are testing their software and hardware on three networked robots. The aim is to form and control a robot swarm using edge intelligence.<\/p>\n

\u201cWe\u2019re reproducing an operational area of the factory floor so we can understand exactly what happens to these autonomous robots,\u201d explains Cugini in a news item<\/a> published on \u2018EE Times Europe\u2019. \u201cFor example, we can walk through the lab, and the robots\u2019 cameras will recognize there\u2019s a person there as an obstacle and immediately stop.\u201d The researcher goes on to explain that such factory settings require strong security and dynamic networking capabilities. \u201cWe also need to make sure that a robot claiming to be a certain robot is exactly that robot,\u201d Cugini adds. \u201cThere are many issues.\u201d<\/p>\n

This work is the networking component of SMARTEDGE\u2019s research into the development of autonomous mobile robot swarms that can communicate and collaborate on the edge. Other areas of research include a low-code engineering toolchain for edge intelligence developed by project partners Siemens, Dell Technologies and Technische Universit\u00e4t Berlin, and advanced computer vision developed by project partner Bosch. Another partner, Nvidia, has contributed to the project its BlueField-2 smart network interface card, a hardware accelerator.<\/p>\n

Better communication, low latency<\/h2>\n

Cugini and his team have also developed a software layer that manages communications between robots, performing security validation and preventing messages from being intercepted. Latency limitations were taken into account during development: \u201cAfter a couple years of working on this, we can say that this thin software layer doesn\u2019t really add a lot of extra latency [to swarm networking], and the swarm can adapt to network changes in much less than 1 second,\u201d Cugini notes, adding: \u201cThe extra latency that we added to enable this additional security and dynamicity\u2014and, in total, the networking capability\u2014strongly depends on the underlying hardware. If we use a simple Raspberry Pi that costs a few tens of euros, performance is on par with a home Wi-Fi network, but if we have a powerful Nvidia data processing unit, we\u2019ve got a super-fast 100 gigabits per second or more.\u201d<\/p>\n

Experiments have only been conducted with up to 20 autonomous robots in a swarm, but \u2013 as reported in the news item \u2013 in simulations there can be 1 000. \u201cWe\u2019ll never have 1,000 devices joining and leaving simultaneously on a factory floor, but we\u2019re also considering swarms of cars in the project\u2019s automotive use case,\u201d Cugini explains. For this case, the SMARTEDGE (Semantic Low-code Programming Tools for Edge Intelligence) team ultimately aims to include around 1 000 autonomous vehicles in the combined practical and simulation studies.<\/p>\n

Image: KW Foundation<\/p>\n","protected":false},"excerpt":{"rendered":"

The SMARTEDGE project is using edge AI to transform autonomous robot collaboration and communication in factories and more Since its launch in January 2023, the EU-funded SMARTEDGE project has been creating tools and methods that facilitate the development of edge intelligence solutions for real-world scenarios. Taking advantage of edge computing and the Internet of things\u2026<\/p>\n","protected":false},"author":2,"featured_media":19832,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_scj_primary_category_id":57,"_scj_featured":false,"_scj_featured_from":"","_scj_featured_until":"","_scj_featured_order":0,"_scj_visibility_class":"current","_scj_layout_family":"standard","_scj_article_style":"","_scj_display_overrides":[],"_scj_intro_image_id":19832,"_scj_intro_alt":"Autonomous robots from the SMARTEDGE project collaborating using edge AI on a simulated factory floor","_scj_intro_caption":"","_scj_intro_class":"","_scj_intro_float":"","_scj_full_image_id":19832,"_scj_full_alt":"Autonomous robots from the SMARTEDGE project collaborating using edge AI on a simulated factory 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