6 citations · 7 across the 4 of their papers we have counts for
5 papers
DROM: A Language-Guided Diffusion Framework for Multi-Skill Robotic Manipulation
Vincenzo Pomponi, Rocco Felici, Paolo Franceschi +5
Learning robust manipulation policies for diverse, long-horizon tasks from limited demonstrations remains a fundamental challenge in robotics. We present DROM, a language-guided di…
DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks
Vincenzo Pomponi, Paolo Franceschi, Stefano Baraldo +4
Learning robust manipulation policies typically requires large and diverse datasets, the collection of which is time-consuming, labor-intensive, and often impractical for dynamic e…
MultiPhysio-HRC: Multimodal Physiological Signals Dataset for industrial Human-Robot Collaboration
Andrea Bussolan, Stefano Baraldo, Oliver Avram +4
Human-robot collaboration (HRC) is a key focus of Industry 5.0, aiming to enhance worker productivity while ensuring well-being. The ability to perceive human psycho-physical state…
The CTSkills App -- Measuring Problem Decomposition Skills of Students in Computational Thinking
Dorit Assaf, Giorgia Adorni, Elia Lutz +5
This paper addresses the incorporation of problem decomposition skills as an important component of computational thinking (CT) in K-12 computer science (CS) education. Despite the…
FADE-CTP: A Framework for the Analysis and Design of Educational Computational Thinking Problems
Giorgia Adorni, Alberto Piatti, Engin Bumbacher +5
In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and…