Gabriella Pizzuto

27 papers A* 2A 1B 3Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Human-Aware Robot Behaviour in Self-Driving Labs. HRI Companion Satheeshkumar Veeramani, Anna Kisil, Abigail Bentley, Hatem Fakhruldeen, Gabriella Pizzuto, Andrew I. Cooper
2026	J	`jnl`	Human-Aware Robot Behaviour in Self-Driving Labs. CoRR Satheeshkumar Veeramani, Anna Kisil, Abigail Bentley, Hatem Fakhruldeen, Gabriella Pizzuto, Andrew I. Cooper
2026	J	`jnl`	Learning Adaptive Force Control for Contact-Rich Sample Scraping with Heterogeneous Materials. CoRR Cenk Cetin, Shreyas Pouli, Gabriella Pizzuto
2026	J	`jnl`	MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation. CoRR Kourosh Darvish, Arjun Sohal, Abhijoy Mandal, Hatem Fakhruldeen, Nikola Radulov, Zhengxue Zhou, Satheeshkumar Veeramani, Joshua Choi, Sijie Han, Brayden Zhang, Jeeyeoun Chae, Alex Wright, Yijie Wang, Hossein Darvish, Yuchi Zhao, Gary Tom, Han Hao, Miroslav Bogdanovic, Gabriella Pizzuto, Andrew I. Cooper, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
2026	J	`jnl`	MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation. Nat. Comput. Sci. Kourosh Darvish, Arjun Sohal, Abhijoy Mandal, Hatem Fakhruldeen, Nikola Radulov, Zhengxue Zhou, Satheeshkumar Veeramani, Joshua Choi, Sijie Han, Brayden Zhang, Jeeyeoun Chae, Alex Wright, Yijie Wang, Hossein Darvish, Yuchi Zhao, Gary Tom, Han Hao, Miroslav Bogdanovic, Gabriella Pizzuto, Andrew I. Cooper, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
2025	J	`jnl`	Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan. CoRR Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann
2025	J	`jnl`	Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges. Sci. Robotics Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann
2025	J	`jnl`	FLIP: Flowability-Informed Powder Weighing. CoRR Nikola Radulov, Alex Wright, Thomas Little, Andrew I. Cooper, Gabriella Pizzuto
2025	A*	`conf`	Multimodal Behaviour Trees for Robotic Laboratory Task Automation. ICRA Hatem Fakhruldeen, Arvind Raveendran Nambiar, Satheeshkumar Veeramani, Bonilkumar Vijaykumar Tailor, Hadi Beyzaee Juneghani, Gabriella Pizzuto, Andrew Ian Cooper
2025	J	`jnl`	Multimodal Behaviour Trees for Robotic Laboratory Task Automation. CoRR Hatem Fakhruldeen, Arvind Raveendran Nambiar, Satheeshkumar Veeramani, Bonilkumar Vijaykumar Tailor, Hadi Beyzaee Juneghani, Gabriella Pizzuto, Andrew Ian Cooper
2024	—	`conf`	Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping. CASE Gabriella Pizzuto, Hetong Wang, Hatem Fakhruldeen, Bei Peng, Kevin S. Luck, Andrew I. Cooper
2023	—	`conf`	Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories. CASE Aaron Butterworth, Gabriella Pizzuto, Leszek Pecyna, Andrew I. Cooper, Shan Luo
2023	J	`jnl`	Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories. CoRR Aaron Butterworth, Gabriella Pizzuto, Leszek Pecyna, Andrew I. Cooper, Shan Luo
2023	J	`jnl`	Powder-Bot: A Modular Autonomous Multi-Robot Workflow for Powder X-Ray Diffraction. CoRR Amy M. Lunt, Hatem Fakhruldeen, Gabriella Pizzuto, Louis Longley, Alexander White, Nicola Rankin, Rob Clowes, Ben M. Alston, Andrew I. Cooper, Samantha Y. Chong
2022	A*	`conf`	ARChemist: Autonomous Robotic Chemistry System Architecture. ICRA Hatem Fakhruldeen, Gabriella Pizzuto, Jakub Glowacki, Andrew Ian Cooper
2022	J	`jnl`	ARChemist: Autonomous Robotic Chemistry System Architecture. CoRR Hatem Fakhruldeen, Gabriella Pizzuto, Jakub Glowacki, Andrew Ian Cooper
2022	J	`jnl`	Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping. CoRR Gabriella Pizzuto, Hetong Wang, Hatem Fakhruldeen, Bei Peng, Kevin S. Luck, Andrew I. Cooper
2022	A	`conf`	Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control. IROS David Jorge, Gabriella Pizzuto, Michael N. Mistry
2022	J	`jnl`	Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control. CoRR David Jorge, Gabriella Pizzuto, Michael N. Mistry
2022	B	`conf`	SOLIS: Autonomous Solubility Screening using Deep Neural Networks. IJCNN Gabriella Pizzuto, Jacopo de Berardinis, Louis Longley, Hatem Fakhruldeen, Andrew I. Cooper
2022	J	`jnl`	SOLIS: Autonomous Solubility Screening using Deep Neural Networks. CoRR Gabriella Pizzuto, Jacopo de Berardinis, Louis Longley, Hatem Fakhruldeen, Andrew I. Cooper
2021	—	`conf`	Physics-penalised Regularisation for Learning Dynamics Models with Contact. L4DC Gabriella Pizzuto, Michael N. Mistry
2020	B	`conf`	At Your Service: Coffee Beans Recommendation From a Robot Assistant. HAI Jacopo de Berardinis, Gabriella Pizzuto, Francesco Lanza, Antonio Chella, Jorge Meira, Angelo Cangelosi
2020	J	`jnl`	At Your Service: Coffee Beans Recommendation From a Robot Assistant. CoRR Jacopo de Berardinis, Gabriella Pizzuto, Francesco Lanza, Antonio Chella, Jorge Meira, Angelo Cangelosi
2020	—	`—`	From single words to compositional language via gestures: applications in robot language learning. Gabriella Pizzuto
2019	B	`conf`	Exploring Deep Models for Comprehension of Deictic Gesture-Word Combinations in Cognitive Robotics. IJCNN Gabriella Pizzuto, Angelo Cangelosi
2019	—	`conf`	Modelling the Single Word to Multi-Word Transition Using Matrix Completion. ICDL-EPIROB Gabriella Pizzuto, Timothy M. Hospedales, Olga Capirci, Angelo Cangelosi

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.