Leonardo Bobadilla

75 papers A* 5A 5B 3C 2Journal 31Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CyberLLM-FINDS 2025: Instruction-Tuned Fine-tuning of Domain-Specific LLMs with Retrieval-Augmented Generation and Graph Integration for MITRE Evaluation. CoRR Vasanth Iyer, Leonardo Bobadilla, S. S. Iyengar
2026	J	`jnl`	GUIDEd Agents: Enhancing Navigation Policies Through Task-Specific Uncertainty Abstraction in Localization-Limited Environments. IEEE Robotics Autom. Lett. Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik
2026	J	`jnl`	Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution. CoRR Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes, Paulo Padrao, Ana Cavalcanti, Leonardo Bobadilla
2025	—	`conf`	A Web-Based Interactive Digital Twin for Marine Robotics Education. XR (6) Daniel Correa, Paulo Padrao, Jose Fuentes, Tero Kaarlela, Leonardo Bobadilla
2025	J	`jnl`	BOW: Bayesian Optimization over Windows for Motion Planning in Complex Environments. CoRR Sourav Raxit, Abdullah Al Redwan Newaz, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla
2025	J	`jnl`	Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing. CoRR Gokul Puthumanaillam, Aditya Penumarti, Manav Vora, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Jane Shin, Melkior Ornik
2025	—	`conf`	Bioinspired SLAM Approach for Unmanned Surface Vehicle. ICAR Fabio Coelho, Joao Victor T. Borges, Paulo Padrao, Jose Fuentes, Ramon R. Costa, Liu Hsu, Leonardo Bobadilla
2025	J	`jnl`	Bioinspired SLAM Approach for Unmanned Surface Vehicle. CoRR Fabio Coelho, Joao Victor T. Borges, Paulo Padrao, Jose Fuentes, Ramon R. Costa, Liu Hsu, Leonardo Bobadilla
2025	J	`jnl`	Deep Learning and Foundation Models for Weather Prediction: A Survey. CoRR Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan
2025	A	`conf`	Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management. AAMAS Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik
2025	J	`jnl`	Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements. CoRR Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik
2025	—	`conf`	Game-Theoretic Autonomous Vehicle Path Coordination with Limited Communication. CASE Nicole Cruz, Jose Fuentes, Leonardo Bobadilla
2025	A*	`conf`	Learning-Based Adaptive Navigation for Scalar Field Mapping and Feature Tracking. ICRA Jose Fuentes, Paulo Padrao, Abdullah Al Redwan Newaz, Leonardo Bobadilla
2025	—	`conf`	Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection. CASE Daniel Correa, Tero Kaarlela, Jose Fuentes, Paulo Padrao, Alain Duran, Leonardo Bobadilla
2025	J	`jnl`	Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection. CoRR Daniel Correa, Tero Kaarlela, Jose Fuentes, Paulo Padrao, Alain Duran, Leonardo Bobadilla
2025	J	`jnl`	Online Learning of Deceptive Policies under Intermittent Observation. CoRR Gokul Puthumanaillam, Ram Padmanabhan, Jose Fuentes, Nicole Cruz, Paulo Padrao, Ruben Hernandez, Hao Jiang, William E. Schafer, Leonardo Bobadilla, Melkior Ornik
2025	A	`conf`	TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models. IROS Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Pranay Thangeda, William E. Schafer, Jae Hyuk Song, Karan Jagdale, Leonardo Bobadilla, Melkior Ornik
2025	J	`jnl`	TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models. CoRR Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Pranay Thangeda, William E. Schafer, Jae Hyuk Song, Karan Jagdale, Leonardo Bobadilla, Melkior Ornik
2024	—	`conf`	Distributed Learning for Autonomous Vehicles in Communication-Constrained Environments. CASE Nicole Cruz, Jose Fuentes, Leonardo Bobadilla
2024	J	`jnl`	Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management. CoRR Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik
2024	J	`jnl`	LCD-RIG: Limited Communication Decentralized Robotic Information Gathering Systems. IEEE Robotics Autom. Lett. Abdullah Al Redwan Newaz, Paulo Padrao, Jose Fuentes, Tauhidul Alam, Ganesh Govindarajan, Leonardo Bobadilla
2024	—	`conf`	Towards Optimal Human-Robot Interface Design Applied to Underwater Robotics Teleoperation. CASE Paulo Padrao, Jose Fuentes, Tero Kaarlela, Alfredo Bayuelo, Leonardo Bobadilla
2023	J	`jnl`	Decentralized Multi-Robot Information Gathering From Unknown Spatial Fields. IEEE Robotics Autom. Lett. Abdullah Al Redwan Newaz, Murtadha Alsayegh, Tauhidul Alam, Leonardo Bobadilla
2023	—	`conf`	Oblivious Markov Decision Processes: Planning and Policy Execution. CDC Murtadha Alsayegh, Jose Fuentes, Leonardo Bobadilla, Dylan A. Shell
2023	J	`jnl`	Towards Optimal Human-Robot Interface Design Applied to Underwater Robotics Teleoperation. CoRR Paulo Padrao, Jose Fuentes, Tero Kaarlela, Alfredo Bayuelo, Leonardo Bobadilla
2022	J	`jnl`	Estimating spatio-temporal fields through reinforcement learning. Frontiers Robotics AI Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Ryan N. Smith
2022	—	`conf`	Localization in Seemingly Sensory-Denied Environments through Spatio-Temporal Varying Fields. IRC Jose Fuentes, Leonardo Bobadilla, Ryan N. Smith
2022	—	`conf`	Privacy-Preserving Multi-Robot Task Allocation via Secure Multi-Party Computation. ECC Murtadha Alsayegh, Peter Vanegas, Abdullah Al Redwan Newaz, Leonardo Bobadilla, Dylan A. Shell
2021	J	`jnl`	Long-Term Autonomy for AUVs Operating Under Uncertainties in Dynamic Marine Environments. IEEE Robotics Autom. Lett. Abdullah Al Redwan Newaz, Tauhidul Alam, Gregory Murad Reis, Leonardo Bobadilla, Ryan N. Smith
2021	B	`conf`	Multi-Robot Information Gathering Subject to Resource Constraints. RO-MAN Abdullah Al Redwan Newaz, Tauhidul Alam, Joseph Mondello, Jonathan Johnson, Leonardo Bobadilla
2021	—	`conf`	Oblivious Sensor Fusion via Secure Multi-Party Combinatorial Filter Evaluation. CDC William E. Curran, Cesar A. Rojas, Leonardo Bobadilla, Dylan A. Shell
2021	J	`jnl`	Scheduling and Path-Planning for Operator Oversight of Multiple Robots. Robotics Sebastián A. Zanlongo, Peter Dirksmeier, Philip Long, Taskin Padir, Leonardo Bobadilla
2021	J	`jnl`	Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles. Frontiers Robotics AI Tauhidul Alam, Abdullah Al Redwan Newaz, Leonardo Bobadilla, Wesam H. Al-Sabban, Ryan N. Smith, Ali Karimoddini
2020	—	`conf`	Coastal Infrastructure Monitoring through Heterogeneous Autonomous Vehicles. IRC Tauhidul Alam, Alexander Campaneria, Mathew Silva, Leonardo Bobadilla, Gabriel A. Weaver
2020	A	`conf`	Lightweight Multi-robot Communication Protocols for Information Synchronization. IROS Murtadha Alsayegh, Ayan Dutta, Peter Vanegas, Leonardo Bobadilla
2020	J	`jnl`	Multi-Robot Coverage and Persistent Monitoring in Sensing-Constrained Environments. Robotics Tauhidul Alam, Leonardo Bobadilla
2020	J	`jnl`	Stochastic Multi-Robot Patrolling with Limited Visibility. J. Intell. Robotic Syst. Tauhidul Alam, Md. Mahbubur Rahman, Pedro Carrillo, Leonardo Bobadilla, Brian Rapp
2020	—	`conf`	Synergistic AUV Navigation through Deployed Surface Buoys. IRC Tauhidul Alam, Logan Gandy, Leonardo Bobadilla, Ryan N. Smith
2019	—	`conf`	Computing Feedback Plans from Dynamical System Composition. CASE Alfredo Bayuelo, Tauhidul Alam, Leonardo Bobadilla, Luis Fernando Niño, Ryan N. Smith
2019	A*	`conf`	Coordinated multi-robot planning while preserving individual privacy. ICRA Li Li, Alfredo Bayuelo, Leonardo Bobadilla, Tauhidul Alam, Dylan A. Shell
2019	A*	`conf`	Development of Informative Path Planning for Inspection of the Hanford Tank Farm. ICRA Sebastián A. Zanlongo, Leonardo Bobadilla, Dwayne McDaniel, Yew Teck Tan
2019	J	`jnl`	Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles. CoRR Opeyemi S. Orioke, Tauhidul Alam, Joseph Quinn, Ramneek Kaur, Wesam H. Al-Sabban, Leonardo Bobadilla, Ryan N. Smith
2019	J	`jnl`	Modeling and Analyzing Occupant Behaviors in Building Energy Analysis Using a State Space Approach and Non-Invasive Sensing. Int. J. Next Gener. Comput. Triana Carmenate, Md. Mahbubur Rahman, Diana Leante, Leonardo Bobadilla, Ali Mostafavi
2019	J	`jnl`	Planning, Scheduling, and Deploying for Computational Ferrying. Int. J. Next Gener. Comput. Sebastián A. Zanlongo, Alexander C. Wilson, Leonardo Bobadilla, Tamim Sookoor
2019	—	`conf`	Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming. ITSC Franklin Abodo, Andrew Berthaume, Stephen Zitzow-Childs, Leonardo Bobadilla
2019	J	`jnl`	Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming. CoRR Franklin Abodo, Andrew Berthaume, Stephen Zitzow-Childs, Leonardo Bobadilla
2018	—	`conf`	A Data-Driven Deployment Approach for Persistent Monitoring in Aquatic Environments. IRC Tauhidul Alam, Gregory Murad Reis, Leonardo Bobadilla, Ryan N. Smith
2018	J	`jnl`	An Automated Methodology for Worker Path Generation and Safety Assessment in Construction Projects. IEEE Trans Autom. Sci. Eng. Md. Mahbubur Rahman, Leonardo Bobadilla, Ali Mostafavi, Triana Carmenate, Sebastián A. Zanlongo
2018	J	`jnl`	An Underactuated Vehicle Localization Method in Marine Environments. CoRR Tauhidul Alam, Gregory Murad Reis, Leonardo Bobadilla, Ryan N. Smith
2018	—	`conf`	Multi-robot Scheduling and Path-Planning for Non-overlapping Operator Attention. IRC Sebastián A. Zanlongo, Franklin Abodo, Philip Long, Taskin Padir, Leonardo Bobadilla
2018	J	`jnl`	Space-Efficient Filters for Mobile Robot Localization from Discrete Limit Cycles. IEEE Robotics Autom. Lett. Tauhidul Alam, Leonardo Bobadilla, Dylan A. Shell
2017	—	`conf`	Augmented Terrain-Based Navigation to Enable Persistent Autonomy for Underwater Vehicles. IRC Gregory Murad Reis, Michael Fitzpatrick, Jacob Anderson, Leonardo Bobadilla, Ryan N. Smith
2017	—	`conf`	Minimalist Robot Navigation and Coverage Using a Dynamical System Approach. IRC Tauhidul Alam, Leonardo Bobadilla, Dylan A. Shell
2017	—	`conf`	Multi-robot Planning for Non-overlapping Operator Attention Allocation. IRC Sebastián A. Zanlongo, Md. Mahbubur Rahman, Franklin Abodo, Leonardo Bobadilla
2017	—	`conf`	Multi-vehicle patrolling with limited visibility and communication constraints. MILCOM Tauhidul Alam, Md. Mahbubur Rahman, Leonardo Bobadilla, Brian Rapp
2017	J	`jnl`	Optimal Placement and Patrolling of Autonomous Vehicles in Visibility-Based Robot Networks. CoRR Md. Mahbubur Rahman, Franklin Abodo, Leonardo Bobadilla, Brian Rapp
2017	A	`conf`	Relay vehicle formations for optimizing communication quality in robot networks. IROS Md. Mahbubur Rahman, Leonardo Bobadilla, Franklin Abodo, Brian Rapp
2016	—	`conf`	Data Correlation and Comparison from Multiple Sensors Over a Coral Reef with a Team of Heterogeneous Aquatic Robots. ISER Alberto Quattrini Li, Ioannis M. Rekleitis, Sandeep Manjanna, Nikhil Kakodkar, Johanna Hansen, Gregory Dudek, Leonardo Bobadilla, Jacob Anderson, Ryan N. Smith
2016	—	`conf`	Establishing line-of-sight communication via autonomous relay vehicles. MILCOM Md. Mahbubur Rahman, Leonardo Bobadilla, Brian Rapp
2016	—	`conf`	Sampling-based planning algorithms for multi-objective missions. CASE Md. Mahbubur Rahman, Leonardo Bobadilla, Brian Rapp
2016	—	`conf`	Scheduling and path planning for computational ferrying. MILCOM Sebastián A. Zanlongo, Alexander C. Wilson, Leonardo Bobadilla, Tamim Sookoor
2015	A*	`conf`	A coupled discrete-event and motion planning methodology for automated safety assessment in construction projects. ICRA Md. Mahbubur Rahman, Triana Carmenate, Leonardo Bobadilla, Sebastián A. Zanlongo, Ali Mostafavi
2015	—	`conf`	Modeling and analyzing occupant behaviors in building energy analysis using an information space approach. CASE Triana Carmenate, Md. Mahbubur Rahman, Diana Leante, Leonardo Bobadilla, Ali Mostafavi
2014	J	`jnl`	Combinatorial Filters: Sensor Beams, Obstacles, and Possible Paths. ACM Trans. Sens. Networks Benjamín Tovar, Fred R. Cohen, Leonardo Bobadilla, Justin Czarnowski, Steven M. LaValle
2014	—	`conf`	Ex-ante assessment of struck-by safety hazards in construction projects: A motion-planning approach. CASE Md. Mahbubur Rahman, Triana Carmenate, Leonardo Bobadilla, Ali Mostafavi
2014	B	`conf`	Geofit: Verifiable Fitness Challenges. MASS Ian Michael Terry, Anita Wu, Sebastian Ramirez, Alex Pissinou Makki, Leonardo Bobadilla, Niki Pissinou, S. Sitharama Iyengar, Bogdan Carbunar
2014	A*	`conf`	Stochastic modeling, control, and verification of wild bodies. ICRA Daniel Erik Gierl, Leonardo Bobadilla, Oscar Sanchez, Steven M. LaValle
2012	C	`conf`	Controlling wild mobile robots using virtual gates and discrete transitions. ACC Leonardo Bobadilla, Fredy H. Martínez, Eric Gobst, Katrina Gossman, Steven M. LaValle
2011	—	`conf`	Controlling Wild Bodies Using Linear Temporal Logic. Robotics: Science and Systems Leonardo Bobadilla, Oscar Sanchez, Justin Czarnowski, Katrina Gossman, Steven M. LaValle
2011	A	`conf`	Minimalist multiple target tracking using directional sensor beams. IROS Leonardo Bobadilla, Oscar Sanchez, Justin Czarnowski, Steven M. LaValle
2008	J	`jnl`	Un modelo basado en reglas de asociación para la extracción de información en datos de secuencias de proteínas. Rev. Avances en Sistemas Informática David Camilo Becerra Romero, Giovanni Cantor, Luis F. Niño, Jonatan Gómez, Leonardo Bobadilla
2007	—	`conf`	A Novel Methodology for Characterizing and Predicting Protein Functional Sites. BIBM Leonardo Bobadilla, Fernando Niño, Edilberto Cepeda, Manuel A. Patarroyo
2007	C	`conf`	Characterizing and Predicting Catalytic Residues in Enzyme Active Sites Based on Local Properties: A Machine Learning Approach. BIBE Leonardo Bobadilla, Fernando Niño, Edilberto Cepeda, Manuel A. Patarroyo
2005	B	`conf`	A genetic word clustering algorithm. Congress on Evolutionary Computation Germán Jairo Hernández, Leonardo Bobadilla, Oscar Sanchez
2005	—	`ch.`	Predicting and Characterizing metal-binding sites using Support Vector Machines. Advances in Bioinformatics and Its Applications Leonardo Bobadilla, Fernando Niño, Giri Narasimhan

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.