Leonard Felicetti

14 papers Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Path Planning and Reinforcement Learning-Driven Control of On-Orbit Free-Flying Multi-Arm Robots. CoRR Álvaro Belmonte-Baeza, José L. Ramon, Leonard Felicetti, Miguel Cazorla, Jorge Pomares
2025	J	`jnl`	A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers. CoRR Konstantinos Platanitis, Miguel Arana-Catania, Saurabh Upadhyay, Leonard Felicetti
2025	—	`conf`	Hierarchical Coverage Path Planning for a Multi-modal Robot Exploring Disconnected Regions. TAROS Sebastian Stelter, Daniel Kuan Io U., Sabyasachi Mondal, Leonard Felicetti, Saurabh Upadhyay
2025	—	`conf`	Locomotion of Multi Arm Robot for In-Orbit Operations (MARIO) in Lab Environment. TAROS Praveen Elavazhagan, Cameron Leslie, Saurabh Upadhyay, Gilbert Tang, Leonard Felicetti
2025	J	`jnl`	Observer-Based Fixed-Time Attitude Tracking Control of Rigid Spacecraft With Output Constraints. IEEE Trans Autom. Sci. Eng. Ganghui Shen, Bing Cui, Leonard Felicetti, Yuanqing Xia, Panfeng Huang
2025	J	`jnl`	Stereovision Image Processing for Planetary Navigation Maps with Semi-Global Matching and Superpixel Segmentation. CoRR Yan-Shan Lu, Miguel Arana-Catania, Saurabh Upadhyay, Leonard Felicetti
2024	—	`conf`	A ROS-Based Control Framework for Simulating Locomotion of a Multi-arm Space Assembly Robot. TAROS (2) Sairaj R. Dillikar, Cameron Leslie, Saurabh Upadhyay, Leonard Felicetti, Gilbert Tang
2024	J	`jnl`	Calibration and testing strategies to correct atmospheric effects on star tracking algorithms. Astron. Comput. Louis Jannin, Leonard Felicetti
2024	J	`jnl`	Convex-concave optimization for a launch vehicle ascent trajectory with chance constraints. J. Frankl. Inst. Xin Sun, Senchun Chai, Runqi Chai, Baihai Zhang, Leonard Felicetti, Antonios Tsourdos
2024	J	`jnl`	Optimal path planning and weighted control of a four-arm robot in on-orbit servicing. CoRR Celia Redondo-Verdú, José L. Ramon, Álvaro Belmonte-Baeza, Jorge Pomares, Leonard Felicetti
2024	J	`jnl`	Spacecraft inertial parameters estimation using time series clustering and reinforcement learning. CoRR Konstantinos Platanitis, Miguel Arana-Catania, Leonardo Capicchiano, Saurabh Upadhyay, Leonard Felicetti
2023	J	`jnl`	Editorial: Multi-robot systems for space applications. Frontiers Robotics AI Jorge Pomares, Leonard Felicetti, Damiano Varagnolo
2023	J	`jnl`	Task space control for on-orbit space robotics using a new ROS-based framework. Simul. Model. Pract. Theory José L. Ramon, Jorge Pomares, Leonard Felicetti
2021	—	`conf`	On-orbit Free-floating Manipulation using a Two-arm Robotic System. ROBOVIS José L. Ramon, Jorge Pomares, Leonard Felicetti

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.