Resume
Academic Achievements
- 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.
Miscellany
- No additional personal information provided.