Gabriele Fadini

15 papers A* 2Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Whole-Body Inverse Dynamics MPC for Legged Loco-Manipulation. IEEE Robotics Autom. Lett. Lukas Molnar, Jin Cheng, Gabriele Fadini, Dongho Kang, Fatemeh Zargarbashi, Stelian Coros
2025	J	`jnl`	Addressing Reachability and Discrete Component Selection in Robotic Manipulator Design Through Kineto-Static Bi-Level Optimization. IEEE Robotics Autom. Lett. Enrico Mingo Hoffman, Daniel Costanzi, Gabriele Fadini, Narcís Miguel, Andrea Del Prete, Luca Marchionni
2025	J	`jnl`	Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control. CoRR Gabriele Fadini, Deepak Ingole, Tong Duy Son, Alisa Rupenyan
2025	J	`jnl`	Differentiable Material Point Method for the Control of Deformable Objects. CoRR Diego Bolliger, Gabriele Fadini, Markus Bambach, Alisa Rupenyan
2025	A*	`conf`	Enhancing Robotic System Robustness via Lyapunov Exponent-Based Optimization. ICRA Gabriele Fadini, Stelian Coros
2025	J	`jnl`	Evolutionary Continuous Adaptive RL-Powered Co-Design for Humanoid Chin-Up Performance. CoRR Tianyi Jin, Melya Boukheddimi, Rohit Kumar, Gabriele Fadini, Frank Kirchner
2025	J	`jnl`	RAMBO: RL-augmented Model-based Optimal Control for Whole-body Loco-manipulation. CoRR Jin Cheng, Dongho Kang, Gabriele Fadini, Guanya Shi, Stelian Coros
2025	J	`jnl`	Rambo: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation. IEEE Robotics Autom. Lett. Jin Cheng, Dongho Kang, Gabriele Fadini, Guanya Shi, Stelian Coros
2025	J	`jnl`	Whole-Body Inverse Dynamics MPC for Legged Loco-Manipulation. CoRR Lukas Molnar, Jin Cheng, Gabriele Fadini, Dongho Kang, Fatemeh Zargarbashi, Stelian Coros
2024	J	`jnl`	Co-designing versatile quadruped robots for dynamic and energy-efficient motions. Robotica Gabriele Fadini, Shivesh Kumar, Rohit Kumar, Thomas Flayols, Andrea Del Prete, Justin Carpentier, Philippe Souères
2024	J	`jnl`	Enhancing Robotic System Robustness via Lyapunov Exponent-Based Optimization. CoRR Gabriele Fadini, Stelian Coros
2024	J	`jnl`	Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement Learning. CoRR Severin Bochem, Eduardo Gonzalez-Sanchez, Yves Bicker, Gabriele Fadini
2023	—	`—`	A versatile co-design framework for simultaneous optimization of robots' hardware and control. (Un cadre générique de co-conception pour l'optimisation du design et de la commande des robots). Gabriele Fadini
2022	J	`jnl`	Simulation Aided Co-Design for Robust Robot Optimization. IEEE Robotics Autom. Lett. Gabriele Fadini, Thomas Flayols, Andrea Del Prete, Philippe Souères
2021	A*	`conf`	Computational design of energy-efficient legged robots: Optimizing for size and actuators. ICRA Gabriele Fadini, Thomas Flayols, Andrea Del Prete, Nicolas Mansard, Philippe Souères

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.