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ORCIDRaffaello Camoriano
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2020 – today
- 2023
[i14]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 abs/2302.05379 (2023)- [i13]Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Raffaello Camoriano, Bedric Rus:
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. CoRR abs/2304.12187 (2023) - 2022
- [j5]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): 2779-2786 (2022) - [c10]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: 942-949 - [i12]Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi:
PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. CoRR abs/2211.06930 (2022) - 2021
- [j4]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): 5650-5657 (2021) - [j3]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): 8561-8568 (2021) - [i11]Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto:
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR abs/2102.12942 (2021) - [i10]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 abs/2104.14534 (2021) - 2020
- [j2]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: 60 (2020) - [j1]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): 816-830 (2020) - [i9]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 abs/2012.14345 (2020)
2010 – 2019
- 2019
- [c9]Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci:
Learning to Sequence Multiple Tasks with Competing Constraints. IROS 2019: 2672-2678 - [i8]Raffaello Camoriano:
Large-scale Kernel Methods and Applications to Lifelong Robot Learning. CoRR abs/1912.05629 (2019) - 2018
- [c8]Anqing Duan, Raffaello Camoriano, Diego Ferigo, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci:
Constrained DMPs for Feasible Skill Learning on Humanoid Robots. Humanoids 2018: 1-6 - [c7]Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone:
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS 2018: 6008-6018 - [i7]Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone:
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR abs/1805.10915 (2018) - [i6]Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso:
Derivative-free online learning of inverse dynamics models. CoRR abs/1809.05074 (2018) - 2017
- [c6]Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta:
Incremental robot learning of new objects with fixed update time. ICRA 2017: 3207-3214 - 2016
- [c5]Raffaello Camoriano, Tomás Angles, Alessandro Rudi, Lorenzo Rosasco:
NYTRO: When Subsampling Meets Early Stopping. AISTATS 2016: 1403-1411 - [c4]Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso:
Online semi-parametric learning for inverse dynamics modeling. CDC 2016: 2945-2950 - [c3]Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco:
Generalization Properties and Implicit Regularization for Multiple Passes SGM. ICML 2016: 2340-2348 - [c2]Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori:
Incremental semiparametric inverse dynamics learning. ICRA 2016: 544-550 - [i5]Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori:
Incremental Semiparametric Inverse Dynamics Learning. CoRR abs/1601.04549 (2016) - [i4]Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco:
Generalization Properties of Learning with Random Features. CoRR abs/1602.04474 (2016) - [i3]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 abs/1605.05045 (2016) - [i2]Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco:
Generalization Properties and Implicit Regularization for Multiple Passes SGM. CoRR abs/1605.08375 (2016) - 2015
- [c1]Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco:
Less is More: Nyström Computational Regularization. NIPS 2015: 1657-1665 - [i1]Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco:
Less is More: Nyström Computational Regularization. CoRR abs/1507.04717 (2015)
Coauthor Index
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last updated on 2023-05-04 22:56 CEST by the dblp team
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