Lauren Bramblett

16 papers A* 2A 5Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Attention-Based Higher-Order Reasoning for Implicit Coordination of Multi-Robot Systems. IROS Jonathan Reasoner, Lauren Bramblett, Nicola Bezzo
2025	J	`jnl`	Implicit Coordination using Active Epistemic Inference for Multi-Robot Systems. CoRR Lauren Bramblett, Jonathan Reasoner, Nicola Bezzo
2025	A*	`conf`	Take Your Best Shot: Sampling-Based Planning for Autonomous Photography. ICRA Shijie Gao, Lauren Bramblett, Nicola Bezzo
2025	A	`conf`	Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave. IROS Sagar Parekh, Lauren Bramblett, Nicola Bezzo, Dylan P. Losey
2024	A	`conf`	Robust Online Epistemic Replanning of Multi-Robot Missions. IROS Lauren Bramblett, Branko Miloradovic, Patrick Sherman, Alessandro V. Papadopoulos, Nicola Bezzo
2024	J	`jnl`	Robust Online Epistemic Replanning of Multi-Robot Missions. CoRR Lauren Bramblett, Branko Miloradovic, Patrick Sherman, Alessandro V. Papadopoulos, Nicola Bezzo
2024	J	`jnl`	Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection. CoRR Shijie Gao, Lauren Bramblett, Nicola Bezzo
2024	J	`jnl`	Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave. CoRR Sagar Parekh, Lauren Bramblett, Nicola Bezzo, Dylan P. Losey
2023	A	`conf`	Epistemic Planning for Heterogeneous Robotic Systems. IROS Lauren Bramblett, Nicola Bezzo
2023	J	`jnl`	Epistemic Planning for Heterogeneous Robotic Systems. CoRR Lauren Bramblett, Nicola Bezzo
2023	A*	`conf`	Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments. ICRA Lauren Bramblett, Shijie Gao, Nicola Bezzo
2023	J	`jnl`	Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments. CoRR Lauren Bramblett, Shijie Gao, Nicola Bezzo
2023	J	`jnl`	Epistemic planning for multi-robot systems in communication-restricted environments. Frontiers Robotics AI Lauren Bramblett, Nicola Bezzo
2022	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics Autom. Mag. Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
2022	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. CoRR Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
2022	A	`conf`	Coordinated Multi-Agent Exploration, Rendezvous, & Task Allocation in Unknown Environments with Limited Connectivity. IROS Lauren Bramblett, Rahul Peddi, Nicola Bezzo

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.