1 citations · 1 across the 4 of their papers we have counts for
4 papers
DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly
Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain +1
This paper proposes a task planning framework for collaborative Human-Robot scenarios, specifically focused on assembling complex systems such as furniture. The human is characteri…
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation
Laura Bragagnolo, Matteo Terreran, Davide Allegro +1
Robust 3D human pose estimation is crucial to ensure safe and effective human-robot collaboration. Accurate human perception,however, is particularly challenging in these scenarios…
Multi-Camera Hand-Eye Calibration for Human-Robot Collaboration in Industrial Robotic Workcells
Davide Allegro, Matteo Terreran, Stefano Ghidoni
In industrial scenarios, effective human-robot collaboration relies on multi-camera systems to robustly monitor human operators despite the occlusions that typically show up in a r…
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models
Leonardo Barcellona, Alberto Bacchin, Matteo Terreran +2
The ability of a robot to pick an object, known as robot grasping, is crucial for several applications, such as assembly or sorting. In such tasks, selecting the right target to pi…