Raffaello Camoriano

46 papers A* 5A 4B 1Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MultiGraspNet: A Multitask 3D Vision Model for Multi-gripper Robotic Grasping. CoRR Stephany Ortuno-Chanelo, Paolo Rabino, Enrico Civitelli, Tatiana Tommasi, Raffaello Camoriano
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	J	`jnl`	Learning Rhythmic Trajectories With Geometric Constraints for Laser-Based Skincare Procedures. IEEE Trans. Robotics Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon
2025	J	`jnl`	MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds. CoRR Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
2025	—	`ed.`	Proceedings of the 1st Workshop on Adjustable Autonomy and Physical Embodied Intelligence (AAPEI 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 20, 2024. AAPEI@ECAI Fabio Patrizi, Raffaello Camoriano, Carlo Masone, Marco Roveri, Luigi Palopoli, Giuseppe Averta, Francesca Pistilli
2025	J	`jnl`	Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers. IEEE Access Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
2025	A	`conf`	Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering. IROS Evelyn D'Elia, Paolo Maria Viceconte, Lorenzo Rapetti, Diego Ferigo, Giulio Romualdi, Giuseppe L'Erario, Raffaello Camoriano, Daniele Pucci
2025	J	`jnl`	Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering. CoRR Evelyn D'Elia, Paolo Maria Viceconte, Lorenzo Rapetti, Diego Ferigo, Giulio Romualdi, Giuseppe L'Erario, Raffaello Camoriano, Daniele Pucci
2024	J	`jnl`	A structured prediction approach for robot imitation learning. Int. J. Robotics Res. Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
2024	A*	`conf`	Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. ICML Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
2024	J	`jnl`	Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. CoRR Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
2024	J	`jnl`	Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. CoRR Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
2024	J	`jnl`	Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning. CoRR Dario Di Domenico, Nicoló Boccardo, Andrea Marinelli, Michele Canepa, Emanuele Gruppioni, Matteo Laffranchi, Raffaello Camoriano
2024	J	`jnl`	Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning. IEEE Robotics Autom. Lett. Dario Di Domenico, Nicoló Boccardo, Andrea Marinelli, Michele Canepa, Emanuele Gruppioni, Matteo Laffranchi, Raffaello Camoriano
2023	J	`jnl`	A Structured Prediction Approach for Robot Imitation Learning. CoRR Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
2023	J	`jnl`	Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. CoRR Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
2023	J	`jnl`	Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures. CoRR Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon
2023	A	`conf`	PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. IROS Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
2023	J	`jnl`	TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. CoRR Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Raffaello Camoriano, Bedric Rus
2022	J	`jnl`	ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots. IEEE Robotics Autom. Lett. Paolo Maria Viceconte, Raffaello Camoriano, Giulio Romualdi, Diego Ferigo, Stefano Dafarra, Silvio Traversaro, Giuseppe Oriolo, Lorenzo Rosasco, Daniele Pucci
2022	B	`conf`	From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. RO-MAN Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
2022	J	`jnl`	PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. CoRR Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
2021	J	`jnl`	On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning. IEEE Robotics Autom. Lett. Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
2021	J	`jnl`	On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning. CoRR Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
2021	J	`jnl`	Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. IEEE Robotics Autom. Lett. Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
2021	J	`jnl`	Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
2020	J	`jnl`	Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. CoRR Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
2020	J	`jnl`	Derivative-Free Online Learning of Inverse Dynamics Models. IEEE Trans. Control. Syst. Technol. Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
2020	J	`jnl`	Learning to Avoid Obstacles With Minimal Intervention Control. Frontiers Robotics AI Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
2019	J	`jnl`	Large-scale Kernel Methods and Applications to Lifelong Robot Learning. CoRR Raffaello Camoriano
2019	A	`conf`	Learning to Sequence Multiple Tasks with Competing Constraints. IROS Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
2018	—	`conf`	Constrained DMPs for Feasible Skill Learning on Humanoid Robots. Humanoids Anqing Duan, Raffaello Camoriano, Diego Ferigo, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
2018	J	`jnl`	Derivative-free online learning of inverse dynamics models. CoRR Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
2018	A*	`conf`	Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
2018	J	`jnl`	Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
2017	A*	`conf`	Incremental robot learning of new objects with fixed update time. ICRA Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
2016	A*	`conf`	Generalization Properties and Implicit Regularization for Multiple Passes SGM. ICML Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
2016	J	`jnl`	Generalization Properties and Implicit Regularization for Multiple Passes SGM. CoRR Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
2016	J	`jnl`	Generalization Properties of Learning with Random Features. CoRR Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
2016	J	`jnl`	Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. CoRR Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
2016	J	`jnl`	Incremental Semiparametric Inverse Dynamics Learning. CoRR Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori
2016	A*	`conf`	Incremental semiparametric inverse dynamics learning. ICRA Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori
2016	A	`conf`	NYTRO: When Subsampling Meets Early Stopping. AISTATS Raffaello Camoriano, Tomás Angles, Alessandro Rudi, Lorenzo Rosasco
2016	—	`conf`	Online semi-parametric learning for inverse dynamics modeling. CDC Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso
2015	—	`conf`	Less is More: Nyström Computational Regularization. NIPS Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
2015	J	`jnl`	Less is More: Nyström Computational Regularization. CoRR Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.