Fabio Amadio - RankMe

17 papers C 1Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Group-Robot Interaction in the Wild: An Exploratory Field Study in Semi-public Spaces. HRI Companion Elisabetta Zibetti, Raphael Lorenzo-Louis, Fabio Amadio, Julien Wacquez, Joffrey Becker, Bertrand Luvison, Serena Ivaldi
2025	J	`jnl`	What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics. CoRR Julien Wacquez, Elisabetta Zibetti, Joffrey Becker, Lorenzo Aloe, Fabio Amadio, Salvatore Maria Anzalone, Lola Cañamero, Serena Ivaldi
2024	J	`jnl`	From Vocal Instructions to Household Tasks: The Inria Tiago++ in the euROBIN Service Robots Coopetition. CoRR Fabio Amadio, Clemente Donoso, Dionis Totsila, Raphael Lorenzo, Quentin Rouxel, Olivier Rochel, Enrico Mingo Hoffman, Jean-Baptiste Mouret, Serena Ivaldi
2024	—	`conf`	Variable Impedance Control Combining Reinforcement Learning and Gaussian Process Regression. Humanoids Paolino De Risi, Fabio Amadio, Gianluca Garofalo, Fanny Ficuciello, Pietro Falco
2023	J	`jnl`	FollowMe: a Robust Person Following Framework Based on Re-Identification and Gestures. CoRR Federico Rollo, Andrea Zunino, Gennaro Raiola, Fabio Amadio, Arash Ajoudani, Nikolaos G. Tsagarakis
2023	—	`conf`	FollowMe: a Robust Person Following Framework Based on Visual Re-Identification and Gestures. ARSO Federico Rollo, Andrea Zunino, Gennaro Raiola, Fabio Amadio, Arash Ajoudani, Nikolaos G. Tsagarakis
2023	C	`conf`	Learning Control from Raw Position Measurements. ACC Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
2023	J	`jnl`	Learning Control from Raw Position Measurements. CoRR Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
2022	J	`jnl`	A Target-Guided Telemanipulation Architecture for Assisted Grasping. IEEE Robotics Autom. Lett. Marco Laghi, Luigi Raiano, Fabio Amadio, Federico Rollo, Andrea Zunino, Arash Ajoudani
2022	J	`jnl`	Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Trans. Robotics Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
2022	—	`conf`	Target-Referred DMPs for Learning Bimanual Tasks from Shared-Autonomy Telemanipulation. Humanoids Fabio Amadio, Marco Laghi, Luigi Raiano, Federico Rollo, Andrea Zunino, Gennaro Raiola, Arash Ajoudani
2021	—	`conf`	Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. ECC Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. CoRR Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation. CoRR Fabio Amadio, Juan Antonio Delgado-Guerrero, Adrià Colomé, Carme Torras
2021	J	`jnl`	Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. CoRR Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Model-based Policy Search for Partially Measurable Systems. CoRR Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres
2019	J	`jnl`	Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks. IEEE Robotics Autom. Lett. Fabio Amadio, Adria Colome, Carme Torras

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.