AI-PRISM

AI-PRISM General Assembly in Turin: Highlights

The General Assembly of the AI-PRISM Project in Turin was marked by a comprehensive exploration of both user and technical perspectives, showcasing the project’s vision and objectives. The meeting delved into various work packages, featuring insights from industrial scenarios to technical foundations, and even a guided tour of COMAU facilities. User Perspective The morning session […]

#AIPRISM25 : Research & development, Open Access pilots – Tampere University

The AI-PRISM consortium is dedicated to enhancing the EU Smart manufacturing value chain in four areas: collaborative environment, robot perception and recognition, robot programming, and human factors. Our industrial partners cooperate to achieve a balance between complementarity and overlap.   To make our pilots accessible through the AI-PRISM alliance of Open Access Pilots, we are proud […]

Exploring Collaborations and Innovation: A Recap of the KEBA, PRO, and KUL Meeting

In a dynamic meeting at KEBA’s headquarters, professionals from KEBA, PROFACTOR (PRO), and KUL (Katholieke Universiteit Leuven) convened to discuss the pilot use case of KEBA and explore collaborative opportunities. The two-day agenda was packed with insightful discussions, presentations, and strategic planning. The meeting kicked off with an open discussion on the KEBA use case, […]

CALL FOR PAPERS: Human-robots collaboration and AI – hype or reality?

We invite researchers, academics, and industry professionals to submit contributions for the workshop on “HRC and AI, Hype or Reality? From Pilots to Best Practices,” which will be held in conjunction with the 15th edition of the European Robotics Forum, to be held from 13-15 March 2024 in Rimini, Italy. The workshop aims to explore […]

AI-PRISM kicks off the system demonstration and validation work

The AI-PRISM team has been working on developing a human-centred ecosystem of AI-based solutions for manufacturing scenarios for a year. Now, it is time to focus on real operational environments that will be used for demonstrations to evaluate these solutions’ performance, transferability, scalability, and large-scale deployment. To achieve this, the team will conduct four pilot […]

AI-PRISM Newsletter #2 is out!

The AI-PRISM team has already released Newsletter #2, which contains all the milestones of the first year. On the occasion of our project’s anniversary, we have compiled the latest activities and achievements of its first year. The edition includes our technical advancements, campaigns, events, and a video that showcases our successes. Download the second newsletter […]

Partner Fondazione Bruno Kessler won the BOP Challenge 2023 for 6D Object Pose Estimation

The Fondazione Bruno Kessler (FBK) team participated in the BOP Challenge 2023 for 6D Object Pose Estimation in September. The contest aims to measure the progress in object pose estimation. Since 2017, the organisers from remarkable entities such as Google, Reality Labs at Meta, ENPC ParisTech, MVTec, Niantic and the universities of Czech, Heidelberg and […]

PatchMixer for 3D point cloud processing impact on the AI-PRISM project by Dr Davide Boscaini

Recently researchers Davide Boscaini and Fabio Poiesi from partner Fondazione Bruno Kessler (FBK) have published the scientific paper entitled “PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding.” Their contributions are from a novel deep learning architecture to process 3D point cloud data based on MLP layers only to minimize inductive biases. […]

The AI-PRISM team published a scientific paper presenting PatchMixer for 3D point cloud processing

Researchers Davide Boscani and Fabio Poiesi from partner Fondazione Bruno Kessler (FBK) have published the scientific paper entitled “PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding”, in the Image and Vision Computing Journal, Volume 137. The publication is relevant for the AI-PRISM project, specifically for our Ambient digitalization for Human-Robot Collaboration […]