Raffaello Camoriano

According to our database, Raffaello Camoriano authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning.

Dario Di Domenico, Nicoló Boccardo, Andrea Marinelli, Michele Canepa, Emanuele Gruppioni, Matteo Laffranchi, Raffaello Camoriano

IEEE Robotics Autom. Lett., November, 2024

A structured prediction approach for robot imitation learning.

Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard

Int. J. Robotics Res., February, 2024

Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis.

Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2024

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers.

Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures.

Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon

CoRR, 2023

TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning.

Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Raffaello Camoriano, Bedric Rus

CoRR, 2023

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation.

Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2023

PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting.

Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi

IROS, 2023

2022

ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots.

Paolo Maria Viceconte, Raffaello Camoriano, Giulio Romualdi, Diego Ferigo, Stefano Dafarra, Silvio Traversaro, Giuseppe Oriolo, Lorenzo Rosasco, Daniele Pucci

IEEE Robotics Autom. Lett., 2022

PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting.

Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi

CoRR, 2022

From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach.

Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021

Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models.

Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto

IEEE Robotics Autom. Lett., 2021

On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning.

Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci

IEEE Robotics Autom. Lett., 2021

2020

Derivative-Free Online Learning of Inverse Dynamics Models.

Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso

IEEE Trans. Control. Syst. Technol., 2020

Learning to Avoid Obstacles With Minimal Intervention Control.

Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci

Frontiers Robotics AI, 2020

Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics.

Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2020

2019

Large-scale Kernel Methods and Applications to Lifelong Robot Learning.

Raffaello Camoriano

CoRR, 2019

Learning to Sequence Multiple Tasks with Competing Constraints.

Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification.

Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Constrained DMPs for Feasible Skill Learning on Humanoid Robots.

Anqing Duan, Raffaello Camoriano, Diego Ferigo, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

Incremental robot learning of new objects with fixed update time.

Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Generalization Properties of Learning with Random Features.

Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco

CoRR, 2016

Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time.

Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta

CoRR, 2016

Incremental semiparametric inverse dynamics learning.

Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Generalization Properties and Implicit Regularization for Multiple Passes SGM.

Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco

Proceedings of the 33nd International Conference on Machine Learning, 2016

Online semi-parametric learning for inverse dynamics modeling.

Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

NYTRO: When Subsampling Meets Early Stopping.

Raffaello Camoriano, Tomás Angles, Alessandro Rudi, Lorenzo Rosasco

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Less is More: Nyström Computational Regularization.

Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015