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Robotics

Powering the EU Green Deal: RECAIM, EU projects share AI Solutions for Resource Optimisation in AI-on-Demand webinar series

In AI-on-Demand’s second webinar on โ€œ๐€๐ˆ ๐ˆ๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง ๐…๐ซ๐จ๐ฆ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐ญ๐จ ๐Œ๐š๐ซ๐ค๐ž๐ญ”, Robenso from RECLAIM illuminated how our AI-powered portable robotic facility (prMRF) is enabling on-site waste recovery and supporting the transition to a circular economy on the remote Greek island of Kefalonia.

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ERF2025: EU-funded RECLAIM project chosen as “Success Story” at leading robotics forum

Fresh off Verde.tec, our very first public showcase of the prMRF, RECLAIM just earned more brownie points for thinking outside the box, for decentralised material recovery operations! The project has been specially selected to be featured in the session โ€œSuccess Stories from EU-Funded Projectsโ€ during the European Robotics Forum 2025 (ERF2025) scheduled to take place

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Birds of a feather… flock together: EU projects on AI, Data, Robotics share cross-sectoral solutions in Brussels to boost competitiveness and sustainability

Five EU-funded projects, including RECLAIM, hosted a workshop in Brussels for an insightful exchange on AI, Data, and Robotics in advancing green optimisation across industries.

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“Do AI ethics in design, not just for legal compliance”: Takeaways from RECLAIM open training on trustworthy AI, Circular Economyย 

To this end, the RECLAIM consortium organised an open training workshop last month on trustworthy Artificial Intelligence (AI) and Circular Economy. The objective behind the workshop was to present the latest developments in AI, Robotics, and socially sensitive gaming, and how these can support circular economy and Trustworthy AI.   The training program invited specialists in

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Milestone Moment: RECLAIM Successfully Integrates Material Recovery Systems Inside PrMRF

RECLAIM is a portable material recovery facility packed in a box but we are actually thinking outside of it! The last 18 months have been an intense test-bed of expending energy on experimentation and implementation of our solution at RECLAIM project. While we made good use of robotics, grippers, advanced imaging and artificial intelligence to

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