Daniel Honerkamp

22 papers A 1C 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. IROS Mohammad Mohammadi, Daniel Honerkamp, Martin Büchner, Matteo Cassinelli, Tim Welschehold, Fabien Despinoy, Igor Gilitschenski, Abhinav Valada
2025	J	`jnl`	MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. CoRR Mohammad Mohammadi, Daniel Honerkamp, Martin Büchner, Matteo Cassinelli, Tim Welschehold, Fabien Despinoy, Igor Gilitschenski, Abhinav Valada
2025	J	`jnl`	Task-Driven Co-Design of Mobile Manipulators. IEEE Robotics Autom. Lett. Raphael Schneider, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2025	J	`jnl`	Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost. IEEE Robotics Autom. Lett. Daniel Honerkamp, Harsh Mahesheka, Jan Ole von Hartz, Tim Welschehold, Abhinav Valada
2024	J	`jnl`	Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation. IEEE Robotics Autom. Lett. Daniel Honerkamp, Martin Büchner, Fabien Despinoy, Tim Welschehold, Abhinav Valada
2024	J	`jnl`	Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation. CoRR Daniel Honerkamp, Martin Büchner, Fabien Despinoy, Tim Welschehold, Abhinav Valada
2024	J	`jnl`	Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation. CoRR Sai Prasanna, Daniel Honerkamp, Kshitij Sirohi, Tim Welschehold, Wolfram Burgard, Abhinav Valada
2024	J	`jnl`	Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation. Frontiers Comput. Neurosci. Stephan Lochner, Daniel Honerkamp, Abhinav Valada, Andrew D. Straw
2024	J	`jnl`	Task-Driven Co-Design of Mobile Manipulators. CoRR Raphael Schneider, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2024	J	`jnl`	Zero-Cost Whole-Body Teleoperation for Mobile Manipulation. CoRR Daniel Honerkamp, Harsh Mahesheka, Jan Ole von Hartz, Tim Welschehold, Abhinav Valada
2023	J	`jnl`	Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds. IEEE Robotics Autom. Lett. Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2023	J	`jnl`	Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. CoRR Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2023	J	`jnl`	Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. IEEE Robotics Autom. Lett. Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2023	J	`jnl`	N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. IEEE Trans. Robotics Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2022	J	`jnl`	Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps. CoRR Daniel Honerkamp, Suresh Guttikonda, Abhinav Valada
2022	J	`jnl`	Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces. CoRR Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2022	C	`conf`	Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces. ISRR Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2022	J	`jnl`	N CoRR Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2021	J	`jnl`	Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds. CoRR Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2021	J	`jnl`	Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2021	J	`jnl`	Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning. CoRR Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2020	J	`jnl`	Democratising blockchain: A minimal agency consensus model. CoRR Marcin Abram, David Galindo, Daniel Honerkamp, Jonathan Ward, Jin-Mann Wong

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.