KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection (CoRL 2025)
PCHands: PCA-based Hand Pose Synergy Representation on Manipulators with N-DoF (Humanoids 2025)
HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning (IROS 2025)
Open X-Embodiment: Robotic Learning Datasets and RT-X Models (ICRA 2024, Best Conference Paper Award)
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments (RSS Workshops 2024)
RESPRECT: Speeding-up Multi-Fingered Grasping With Residual Reinforcement Learning (RA-L 2024)
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch (IROS 2023)
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot (T-RO 2022)
Fast Object Segmentation Learning with Kernel-based Methods for Robotics (ICRA 2021)
Research Experience
Works in the Humanoid Sensing and Perception group led by Lorenzo Natale at the Italian Institute of Technology.
Education
No specific educational background information provided.
Background
Research Interests: Robot Learning, Computer Vision, and Machine Learning. Professional Area: Enabling robots to perform tasks in everyday environments.