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A virtual pipe network for AI: TUBERS opens a large synthetic navigation dataset

Autonomous movement inside a pipe requires a robot to interpret an environment that is dark, repetitive and difficult to access. To help researchers work on that challenge, TUBERS partner DEMCON has released the project’s synthetic pipeline dataset through Zenodo. More than a camera image The dataset contains images generated at 31,974 locations within a three-dimensional

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Seeing inside the pipe: TUBERS shares labelled visual inspection data

What does a pipe-inspection robot actually see? A TUBERS dataset now available on Zenodo offers a direct answer: endoscopic images collected by a soft robot inside an experimental pipe network designed to reproduce realistic inspection challenges. Inspection data under varied conditions The dataset was produced by Bendabl and the University of Essex. Images were captured

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TUBERS Consortium Meets in Athens for Final Workshop and Face-to-Face Project Meeting

Athens, Greece — July 2026 The TUBERS consortium gathered in Athens for the project’s final workshop and face-to-face project meeting, marking an important milestone in the final phase of the Horizon Europe project. Hosted at the Athens test site, the meeting brought together project partners to review the results of the final demonstration activities, consolidate

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TUBERS Explainable AI and Decision Support System featured on the Horizon Results Platform

A key TUBERS result is now visible on the European Commission’s Horizon Results Platform: the project’s Explainable Machine Learning and Decision Support System. The listing brings the result to a European marketplace designed to connect publicly funded innovation with organisations that can help validate, use and further develop it. Turning inspection data into understandable evidence

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TUBERS gathers market feedback from industrial pipeline stakeholders

The TUBERS project has continued its dialogue with potential users and market stakeholders to better understand how robotic inspection and repair technologies could respond to real operational needs in pipeline environments. As part of the project’s dissemination, communication and exploitation activities, informal exchanges were carried out with representatives from three large companies active in the

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Watch our new TUBERS video

Watch our new TUBERS video! Water is one of Europe’s most valuable resources, yet drinking water networks continue to face major challenges. Ageing infrastructure, hidden leaks, difficult-to-access pipe sections and costly maintenance operations make pipeline inspection and repair a complex task for water operators. Traditional interventions often require excavation, service disruption and extensive manual work,

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Market insights help TUBERS prepare for final validation and exploitation

As TUBERS enters the final phase of its development and validation activities, the project is placing strong emphasis on market feedback and user-oriented exploitation. Recent exchanges with stakeholders from the industrial pipeline sector have provided the consortium with useful insights into the potential relevance of TUBERS technologies. The discussions focused on the project’s robotic tools

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TUBERS and TORNADO Explore Synergies in Robotics, AI and Real-World Deployment

The TUBERS project recently held a synergy discussion with the TORNADO project to explore common ground, shared technical interests and opportunities for future knowledge exchange within the European robotics and AI ecosystem. TUBERS focuses on the development of scalable and modular robotic tools for pipeline inspection and repair, combining soft robotics, ultrasonic sensing, AI-supported data

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Bendabl represents TUBERS at Future Ready 2026 in Brussels

On Thursday, 16 April 2026, Bendabl (BBL), a core partner of the TUBERS project, took part in Future Ready 2026 in Brussels, ADRA’s flagship event dedicated to AI, data and robotics innovation. The event brought together researchers, innovators, industry leaders and policymakers to showcase project results, build synergies and explore pathways for further development and

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