6 papers
Anomaly Detection on Small Industrial Components via Vision-Based Tactile Sensing
G. F. Preziosa, M. Casiglia, M. Faroni +2
Automated inspection of small industrial components, including sub-centimetre-scale parts where defects are geometry-driven and poorly resolved by standard optical cameras, calls f…
Low-Resolution Perception for Robotic Packing
Giuseppe Fabio Preziosa, Federico Vignoni, Chiara Castellano +3
This work tackles the problem of scalable perception for robotic packing with low-cost, low-resolution depth sensing. We propose a framework where reconstruction cues drive next-vi…
FRA-NBV: A Fast and Reflectivity-Aware Next-Best-View Strategy
G. F. Preziosa, E. Setti, M. Faroni +2
Autonomous 3D reconstruction with depth sensors is strongly affected by reflective surfaces, which cause missing or unreliable measurements and reduce the effectiveness of conventi…
The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned
David Cáceres Domínguez, Marco Iannotta, Abhishek Kashyap +21
The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in Västerås, Sweden, addressed the automation of task-intensive and repetitiv…
Low Resolution Next Best View for Robot Packing
Giuseppe Fabio Preziosa, Chiara Castellano, Andrea Maria Zanchettin +2
Automating the packing of objects with robots is a key challenge in industrial automation, where efficient object perception plays a fundamental role. This paper focuses on scenari…
Automating Box Folding: Sequence Extraction and Ranking Methodologies
Giuseppe Fabio Preziosa, Davide Ferloni, Andrea Maria Zanchettin +2
Box folding represents a crucial challenge for automated packaging systems. This work bridges the gap between existing methods for folding sequence extraction and approaches focuse…