Federico Ceola
Scholar

Federico Ceola

Google Scholar ID: jl8BW1kAAAAJ
Istituto Italiano di Tecnologia
RoboticsRobot LearningReinforcement LearningRobotic Vision
Citations & Impact
All-time
Citations
1,163
 
H-index
7
 
i10-index
4
 
Publications
12
 
Co-authors
0
 
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)