Raffaello Camoriano

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Structured Prediction

Inverse Dynamics

Imitation Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
A structured prediction approach for robot imitation learning. Int. J. Robotics Res. 43 (2) (2024)
Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. CoRR (2024)
Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. CoRR (2024)
Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures. CoRR (2023)
Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Raffaello Camoriano, Bedric Rus
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. CoRR (2023)
Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. CoRR (2023)
Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. IROS (2023)
Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
A Structured Prediction Approach for Robot Imitation Learning. CoRR (2023)
Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. RO-MAN (2022)
Paolo Maria Viceconte, Raffaello Camoriano, Giulio Romualdi, Diego Ferigo, Stefano Dafarra, Silvio Traversaro, Giuseppe Oriolo, Lorenzo Rosasco, Daniele Pucci
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots. IEEE Robotics Autom. Lett. 7 (2) (2022)
Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. CoRR (2022)
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. IEEE Robotics Autom. Lett. 6 (3) (2021)
Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning. IEEE Robotics Autom. Lett. 6 (4) (2021)
Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning. CoRR (2021)
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR (2021)
Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
Learning to Avoid Obstacles With Minimal Intervention Control. Frontiers Robotics AI 7 (2020)
Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. CoRR (2020)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
Derivative-Free Online Learning of Inverse Dynamics Models. IEEE Trans. Control. Syst. Technol. 28 (3) (2020)
Raffaello Camoriano
Large-scale Kernel Methods and Applications to Lifelong Robot Learning. CoRR (2019)
Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
Learning to Sequence Multiple Tasks with Competing Constraints. IROS (2019)
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS (2018)
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR (2018)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
Derivative-free online learning of inverse dynamics models. CoRR (2018)
Anqing Duan, Raffaello Camoriano, Diego Ferigo, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
Constrained DMPs for Feasible Skill Learning on Humanoid Robots. Humanoids (2018)
Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
Incremental robot learning of new objects with fixed update time. ICRA (2017)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso
Online semi-parametric learning for inverse dynamics modeling. CDC (2016)
Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
Generalization Properties and Implicit Regularization for Multiple Passes SGM. ICML (2016)
Raffaello Camoriano, Tomás Angles, Alessandro Rudi, Lorenzo Rosasco
NYTRO: When Subsampling Meets Early Stopping. AISTATS (2016)
Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori
Incremental Semiparametric Inverse Dynamics Learning. CoRR (2016)
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
Generalization Properties of Learning with Random Features. CoRR (2016)
Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. CoRR (2016)
Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
Generalization Properties and Implicit Regularization for Multiple Passes SGM. CoRR (2016)
Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori
Incremental semiparametric inverse dynamics learning. ICRA (2016)
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
Less is More: Nyström Computational Regularization. CoRR (2015)
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
Less is More: Nyström Computational Regularization. NIPS (2015)