activity
20152026
most citedAre we done with object recognition? The iCub robot's perspective

44 citations · 130 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CV2026

A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination

Stefano Berti, Giulia Pasquale, Lorenzo Natale

Few-Shot Action Recognition (FS-AR) has shown promising results but is often limited by a closed-set assumption that fails in real-world open-set scenarios. While Few-Shot Open-Set…

cs.RO2025

KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection

Andrea Rosasco, Federico Ceola, Giulia Pasquale +1

Learning robot policies that capture multimodality in the training data has been a long-standing open challenge for behavior cloning. Recent approaches tackle the problem by modeli…

cs.RO2025★ 1 cited

PCHands: PCA-based Hand Pose Synergy Representation on Manipulators with N-DoF

En Yen Puang, Federico Ceola, Giulia Pasquale +1

We consider the problem of learning a common representation for dexterous manipulation across manipulators of different morphologies. To this end, we propose PCHands, a novel appro…

cs.RO2025

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning

Carlo Alessi, Federico Vasile, Federico Ceola +3

Recent advancements in control of prosthetic hands have focused on increasing autonomy through the use of cameras and other sensory inputs. These systems aim to reduce the cognitiv…

cs.RO2025★ 3 cited

Continuous Wrist Control on the Hannes Prosthesis: a Vision-based Shared Autonomy Framework

Federico Vasile, Elisa Maiettini, Giulia Pasquale +2

Most control techniques for prosthetic grasping focus on dexterous fingers control, but overlook the wrist motion. This forces the user to perform compensatory movements with the e…

cs.CV2024

The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks

Carmela Calabrese, Stefano Berti, Giulia Pasquale +1

Addressing multi-label action recognition in videos represents a significant challenge for robotic applications in dynamic environments, especially when the robot is required to co…