Pamela Carreno-Medrano

33 papers A* 3A 3B 6Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences. HRI Emmanuel Fashae, Michael G. Burke, Leimin Tian, Lingheng Meng, Pamela Carreno-Medrano
2026	—	`conf`	Failing Forward: Design and Deployment Lessons from Real-World Human-Robot Interaction. HRI Companion Leimin Tian, Ana Kirschbaum, Caterina Neef, Mary Ellen Foster, Sara Cooper, Frauke Zeller, Manuel Giuliani, Alexander Eberhard, Oliver Chojnowski, Nils Mandischer, Utku Norman, Jan Ole Rixen, Pamela Carreno-Medrano, Nick Hawes, Dana Kulic
2025	J	`jnl`	Domain Randomization for Learning to Navigate in Human Environments. IEEE Robotics Autom. Lett. Nick Ah Sen, Dana Kulic, Pamela Carreno-Medrano
2025	J	`jnl`	Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences. CoRR Emmanuel Fashae, Michael G. Burke, Leimin Tian, Lingheng Meng, Pamela Carreno-Medrano
2025	A*	`conf`	Human-Robot Interaction in Extreme and Challenging Environments. HRI Leimin Tian, Pamela Carreno-Medrano, Manuel Giuliani, Nick Hawes, Raunak Bhattacharyya, Dana Kulic
2025	A*	`conf`	Mixed Reality Outperforms Virtual Reality for Remote Error Resolution in Pick-and-Place Tasks. HRI Advay Kumar, Stephanie Simangunsong, Pamela Carreno-Medrano, Akansel Cosgun
2025	J	`jnl`	Mixed Reality Outperforms Virtual Reality for Remote Error Resolution in Pick-and-Place Tasks. CoRR Advay Kumar, Stephanie Simangunsong, Pamela Carreno-Medrano, Akansel Cosgun
2025	B	`conf`	Modeling Human Sequential Decision-Making in the Tower of London: Incorporating Individual Differences and Timing-Based Replanning Inference. CogSci Chenyuan Zhang, Yuansan Liu, Dana Kulic, Pamela Carreno-Medrano, Michael G. Burke
2024	J	`jnl`	Contextual Affordances for Safe Exploration in Robotic Scenarios. CoRR William Z. Ye, Eduardo B. Sandoval, Pamela Carreno-Medrano, Francisco Cruz
2023	J	`jnl`	Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. IEEE Trans. Robotics Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
2023	A	`conf`	Mapless Urban Robot Navigation by Following Pedestrians. IROS Sophie Buckeridge, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft, Wesley P. Chan
2022	J	`jnl`	Adapting Neural Models with Sequential Monte Carlo Dropout. CoRR Pamela Carreno-Medrano, Dana Kulic, Michael G. Burke
2022	J	`jnl`	Autonomous social robot navigation in unknown urban environments using semantic segmentation. CoRR Sophie Buckeridge, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft, Wesley P. Chan
2022	—	`conf`	Human-Aware Subgoal Generation in Crowded Indoor Environments. ICSR (1) Nick Ah Sen, Pamela Carreno-Medrano, Dana Kulic
2022	—	`conf`	Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms ARSO Junxian Wang, Wesley P. Chan, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft
2022	J	`jnl`	Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms. CoRR Junxian Wang, Wesley P. Chan, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft
2021	J	`jnl`	Aligning Robot's Behaviours and Users' Perceptions Through Participatory Prototyping. CoRR Pamela Carreno-Medrano, Leimin Tian, Aimee Allen, Shanti Sumartojo, Michael Mintrom, Enrique Coronado, Gentiane Venture, Elizabeth A. Croft, Dana Kulic
2021	A	`conf`	Human Motion Imitation using Optimal Control with Time-Varying Weights. IROS Shouyo Ishida, Tatsuki Harada, Pamela Carreno-Medrano, Dana Kulic, Gentiane Venture
2021	B	`conf`	Human-Aware RRT-Connect: Motion Planning for Safe Human-Robot Collaboration. RO-MAN Vidyasagar Rajendran, Pamela Carreno-Medrano, Wesley Fisher, Dana Kulic
2021	J	`jnl`	Objective learning from human demonstrations. Annu. Rev. Control. Jonathan Feng-Shun Lin, Pamela Carreno-Medrano, Mahsa Parsapour, Maram Sakr, Dana Kulic
2021	—	`conf`	Redesigning Human-Robot Interaction in Response to Robot Failures: a Participatory Design Methodology. CHI Extended Abstracts Leimin Tian, Pamela Carreno-Medrano, Aimee Allen, Shanti Sumartojo, Michael Mintrom, Enrique Coronado Zuniga, Gentiane Venture, Elizabeth A. Croft, Dana Kulic
2021	J	`jnl`	Towards a Modular and Distributed End-User Development Framework for Human-Robot Interaction. IEEE Access Enrique Coronado, Dominique Deuff, Pamela Carreno-Medrano, Leimin Tian, Dana Kulic, Shanti Sumartojo, Fulvio Mastrogiovanni, Gentiane Venture
2020	A	`conf`	A Framework for Human-Robot Interaction User Studies. IROS Vidyasagar Rajendran, Pamela Carreno-Medrano, Wesley Fisher, Alexander Werner, Dana Kulic
2020	J	`jnl`	Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. CoRR Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
2020	B	`conf`	User Expectations of Robots in Public Spaces: A Co-design Methodology. ICSR Leimin Tian, Pamela Carreno-Medrano, Shanti Sumartojo, Michael Mintrom, Enrique Coronado, Gentiane Venture, Dana Kulic
2019	—	`conf`	Analysis of Affective Human Motion During Functional Task Performance: An Inverse Optimal Control Approach. Humanoids Pamela Carreno-Medrano, Tatsuki Harada, Jonathan Feng-Shun Lin, Dana Kulic, Gentiane Venture
2019	B	`conf`	Incremental Estimation of Users' Expertise Level. RO-MAN Pamela Carreno-Medrano, Abhinav Dahiya, Stephen L. Smith, Dana Kulic
2018	J	`jnl`	Perceptual Validation for the Generation of Expressive Movements from End-Effector Trajectories. ACM Trans. Interact. Intell. Syst. Pamela Carreno-Medrano, Sylvie Gibet, Pierre-François Marteau
2016	—	`—`	Analysis and Synthesis of Expressive Theatrical Movements. (Analyse et synthèse de mouvements théâtraux expressifs). Pamela Carreno-Medrano
2016	—	`conf`	From Expressive End-Effector Trajectories to Expressive Bodily Motions. CASA Pamela Carreno-Medrano, Sylvie Gibet, Pierre-François Marteau
2015	B	`conf`	End-effectors trajectories: An efficient low-dimensional characterization of affective-expressive body motions. ACII Pamela Carreno-Medrano, Sylvie Gibet, Pierre-François Marteau
2014	—	`conf`	Challenges for the Animation of Expressive Virtual Characters: The Standpoint of Sign Language and Theatrical Gestures. Dance Notations and Robot Motion Sylvie Gibet, Pamela Carreno-Medrano, Pierre-François Marteau
2014	B	`conf`	Corpus Creation and Perceptual Evaluation of Expressive Theatrical Gestures. IVA Pamela Carreno-Medrano, Sylvie Gibet, Caroline Larboulette, Pierre-François Marteau

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.