Paolo Franceschi

19 papers A* 2A 1B 2C 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Vision to Assistance: Gaze and Vision-Enabled Adaptive Control for a Back-Support Exoskeleton. CoRR Alessandro Leanza, Paolo Franceschi, Blerina Spahiu, Loris Roveda
2025	J	`jnl`	Design of an Assistive Controller for Physical Human-Robot Interaction Based on Cooperative Game Theory and Human Intention Estimation. IEEE Trans Autom. Sci. Eng. Paolo Franceschi, Davide Cassinelli, Nicola Pedrocchi, Manuel Beschi, Paolo Rocco
2025	J	`jnl`	DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks. CoRR Vincenzo Pomponi, Paolo Franceschi, Stefano Baraldo, Loris Roveda, Oliver Avram, Luca Maria Gambardella, Anna Valente
2025	B	`conf`	Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling. RO-MAN Paolo Franceschi, Andrea Bussolan, Vincenzo Pomponi, Oliver Avram, Stefano Baraldo, Anna Valente
2025	J	`jnl`	Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling. CoRR Paolo Franceschi, Andrea Bussolan, Vincenzo Pomponi, Oliver Avram, Stefano Baraldo, Anna Valente
2025	J	`jnl`	ros2 fanuc interface: Design and Evaluation of a Fanuc CRX Hardware Interface in ROS2. CoRR Paolo Franceschi, Marco Faroni, Stefano Baraldo, Anna Valente
2024	J	`jnl`	Human-Robot Role Arbitration via Differential Game Theory. IEEE Trans Autom. Sci. Eng. Paolo Franceschi, Nicola Pedrocchi, Manuel Beschi
2023	A	`conf`	Learning Human Motion Intention for pHRI Assistive Control. IROS Paolo Franceschi, Fabio Bertini, Francesco Braghin, Loris Roveda, Nicola Pedrocchi, Manuel Beschi
2023	—	`conf`	Modeling and Analysis of pHRI with Differential Game Theory. ICAR Paolo Franceschi, Manuel Beschi, Nicola Pedrocchi, Anna Valente
2023	J	`jnl`	Modeling and analysis of pHRI with Differential Game Theory. CoRR Paolo Franceschi, Manuel Beschi, Nicola Pedrocchi, Anna Valente
2023	J	`jnl`	Predicting human motion intention for pHRI assistive control. CoRR Paolo Franceschi, Fabio Bertini, Francesco Braghin, Loris Roveda, Nicola Pedrocchi, Manuel Beschi
2022	J	`jnl`	A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery. Int. J. Comput. Integr. Manuf. Paolo Franceschi, Stefano Mutti, Kiara Ottogalli, Daniel Rosquete, Diego Borro, Nicola Pedrocchi
2022	A*	`conf`	Adaptive Impedance Controller for Human-Robot Arbitration based on Cooperative Differential Game Theory. ICRA Paolo Franceschi, Nicola Pedrocchi, Manuel Beschi
2022	C	`conf`	Inverse Optimal Control for the identification of human objective: a preparatory study for physical Human-Robot Interaction. ETFA Paolo Franceschi, Nicola Pedrocchi, Manuel Beschi
2022	J	`jnl`	Optimal design of robotic work-cell through hierarchical manipulability maximization. Robotics Comput. Integr. Manuf. Paolo Franceschi, Stefano Mutti, Nicola Pedrocchi
2020	A*	`conf`	A Control Framework Definition to Overcome Position/Interaction Dynamics Uncertainties in Force-Controlled Tasks. ICRA Loris Roveda, Nicola Castaman, Paolo Franceschi, Stefano Ghidoni, Nicola Pedrocchi
2020	J	`jnl`	Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration. J. Intell. Robotic Syst. Loris Roveda, Jeyhoon Maskani, Paolo Franceschi, Arash Abdi, Francesco Braghin, Lorenzo Molinari Tosatti, Nicola Pedrocchi
2020	J	`jnl`	Precise Robotic Manipulation of Bulky Components. IEEE Access Paolo Franceschi, Nicola Castaman, Stefano Ghidoni, Nicola Pedrocchi
2018	B	`conf`	Human-Robot Cooperative Interaction Control for the Installation of Heavy and Bulky Components. SMC Loris Roveda, Nicola Castaman, Stefano Ghidoni, Paolo Franceschi, Nicoló Boscolo, Enrico Pagello, Nicola Pedrocchi

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.