3 papers
eess.SY2026
Towards Autonomous Commissioning of Industrial Drives via Multi-Objective Bayesian Optimization
David Petrovic, Gian Antonio Susto, Angelo Cenedese
The commissioning of industrial electric drives still relies heavily on manual tuning of cascaded control loops, requiring expert knowledge and significant time. In this paper, we…
cs.CV2026
Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions
Manuel Barusco, Francesco Borsatti, David Petrovic +2
Visual Anomaly Detection (VAD) is a critical task for many applications including industrial inspection and healthcare. While VAD has been extensively studied, two key challenges r…
cs.HC2026
Deep Learning for Virtual Reality User Identification: A Benchmark
Davide Frizzo, Fabrizio Genilotti, David Petrovic +6
Virtual Reality (VR) applications require robust user identification systems to ensure secure access to equipment and protect worker identities. Motion tracking data from VR headse…