AI-PRISM Starts 2025 with a Publication on AI-Based Positioning on a Micro Scale
The AI-PRISM project starts off the year 2025 with a publication within the area of artificial intelligence and robotics. The now-published paper “AI-Based Positioning on a Micro Scale”* by Tomasz Kołcon, Iveta Eimontaite, Piotr Gemza, Krystian Goławski, Miron Kołodziejczyk, and Adam Wołoszczuk investigates the use of AI technologies to achieve micrometer-level positioning on semiconductor elements. […]
Semiconductor Manufacturing: An Interview with Tomasz Kołcon on AI-Driven Precision and Human-Robot Collaboration
Today, we are excited to speak with Tomasz Kołcon, one of the leading authors of the scientific paper titled “AI-based Positioning on a Micrometer Scale.” The paper, published as part of the AI-PRISM project, explores innovative approaches to enhancing the precision of semiconductor manufacturing through the integration of AI-driven human-robot collaboration. In this study, Tomasz […]
The Future of Human-AI Interaction in the Industrial Metaverse
We are proudly presenting the latest research conducted by Aitor Toichoa Eyam, a Human-AI Interaction Researcher at Tampere University’s FAST-Lab. Aitor’s work: “MetaStates: An Approach for Representing Human Workers’ Psychophysiological States in the Industrial Metaverse” introduces the concept of MetaStates, an innovative approach to representing human workers’ psychophysiological states in industrial simulations. This interview explains […]
Exploring AI-PRISM Research: 5 Scientific Papers Unveiled at the European Robotics Forum 2024 Conference
The European Robotics Forum 2024 Conference became the platform for exploring the four pioneering scientific papers, each delving into the forefront of robotics innovation, from human-robot interactions to AI-powered collaboration. With a spotlight on enhancing productivity, safety, and efficiency in industrial settings, these papers promise to reshape the landscape of collaborative robotics. Papers presented below […]
PHD Thesis – Personalizing Assistive Robots: A Reconfigurable and Adaptable Shared-autonomy Framework and its Applications
In this PhD thesis authored by Santiago Iregui, a novel approach to personalised assistive robotics is presented to improve the quality of life of people with motor impairments, particularly those resulting from spinal cord injuries. Recognising that fully autonomous systems may diminish users’ sense of control, the work advances a shared-control paradigm through a constraint-based […]
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 […]
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 […]
The relevance of the Adaptive Beacon Period Configurator (ABPC) optimisation mechanism for the AI-PRISM project by Dr David Todoli
Recently researchers David Todoli Ferrandis, Javier Silvestre Blanes, Victor Sempere Paya and Salvador Santonja Climent from partners ITI and the Polytechnical University of Valencia (UPV) have published the scientific paper entitled “Adaptive Beacon Period Configurator for scalable LoRaWAN downlink applications”. Their findings groundwork the development of the real-time communications for sensor and platform integration and […]
The AI-PRISM team published a scientific paper on a new optimisation mechanism to improve the usability of LPWAN networks in dynamic scenarios
Researchers David Todoli Ferrandis, Javier Silvestre Blanes, Victor Sempere Paya and Salvador Santonja Climent from partners ITI and the Polytechnical University of Valencia (UPV) published the scientific paper entitled “Adaptive Beacon Period Configurator for scalable LoRaWAN downlink applications” in the IEEE Access Journal. The publication is relevant for the AI-PRISM project, specifically for the industrial […]