Ignacio Carlucho

According to our database, Ignacio Carlucho authored at least 41 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Framework for Robust Motion Planning of Tethered Multi-Robot Systems in Marine Environments.

Markus Buchholz, Ignacio Carlucho, Zebin Huang, Michele Grimaldi, Pierre Nicolay, Sümer Tunçay, Yvan R. Petillot

CoRR, August, 2025

Tethered Multi-Robot Systems in Marine Environments.

Markus Buchholz, Ignacio Carlucho, Michele Grimaldi, Yvan R. Petillot

CoRR, August, 2025

Distributed AI Agents for Cognitive Underwater Robot Autonomy.

Markus Buchholz, Ignacio Carlucho, Michele Grimaldi, Yvan R. Petillot

CoRR, July, 2025

Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation.

Michele Grimaldi, Carlo Cernicchiaro, Sebastian Realpe Rua, Alaaeddine El-Masri-El-Chaarani, Markus Buchholz, Loizos Michael, Pere Ridao Rodriguez, Ignacio Carlucho, Yvan R. Petillot

CoRR, July, 2025

Context-Aware Behavior Learning with Heuristic Motion Memory for Underwater Manipulation.

Markus Buchholz, Ignacio Carlucho, Michele Grimaldi, Maria Koskinopoulou, Yvan R. Petillot

CoRR, July, 2025

MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics.

Shuguang Chu, Zebin Huang, Yutong Li, Mingwei Lin, Ignacio Carlucho, Yvan R. Petillot, Canjun Yang

CoRR, March, 2025

Evaluating reinforcement learning-based neural controllers for quadcopter navigation in windy conditions.

Alain Andres, Aritz D. Martinez, Sümer Tunçay, Ignacio Carlucho

Eng. Appl. Artif. Intell., 2025

Comparative Evaluation of Reinforcement Learning and Model Predictive Control for 6DoF Position Control of an Autonomous Underwater Vehicle.

Sümer Tunçay, Alain Andres, Ignacio Carlucho

Proceedings of the Towards Autonomous Robotic Systems - 26th Annual Conference, 2025

Towards Autonomous Subsea Longitudinal Object Detection and Tracking Using a Multi-beam Echo-Sounder.

Favour O. Adetunji, Vibhav Bharti, Yvan R. Petillot, Maria Koskinopoulou, Ignacio Carlucho

Proceedings of the Towards Autonomous Robotic Systems - 26th Annual Conference, 2025

Stonefish: Supporting Machine Learning Research in Marine Robotics.

Michele Grimaldi, Patryk Cieslak, Eduardo Ochoa, Vibhav Bharti, Hayat Rajani, Ignacio Carlucho, Maria Koskinopoulou, Yvan R. Petillot, Nuno Gracias

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

3DSSDF: Underwater 3D Sonar Reconstruction Using Signed Distance Functions.

Simon Archieri, Juliette Drupt, Ahmet Fatih Cinar, Michele Grimaldi, Ignacio Carlucho, Jonatan Scharff Willners, Yvan R. Petillot

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

SpasticMyoElbow: Physical Human-Robot Interaction Simulation Framework for Modelling Elbow Spasticity.

Hao Yu, Zebin Huang, Yutong Li, Xinliang Guo, Vincent Crocher, Ignacio Carlucho, Mustafa Suphi Erden

Proceedings of the International Conference On Rehabilitation Robotics, 2025

2024

MarineGym: Accelerated Training for Underwater Vehicles with High-Fidelity RL Simulation.

Shuguang Chu, Zebin Huang, Mingwei Lin, Dejun Li, Ignacio Carlucho

CoRR, 2024

Digital Twins Below the Surface: Enhancing Underwater Teleoperation.

Favour O. Adetunji, Niamh Ellis, Maria Koskinopoulou, Ignacio Carlucho, Yvan R. Petillot

CoRR, 2024

FRAGG-Map: Frustum Accelerated GPU-Based Grid Map.

Michele Grimaldi, Narcís Palomeras, Ignacio Carlucho, Yvan R. Petillot, Pere Ridao Rodriguez

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows.

Hao Yu, Zebin Huang, Qingbo Liu, Ignacio Carlucho, Mustafa Suphi Erden

Proceedings of the International Joint Conference on Neural Networks, 2024

MIDGARD: A Robot Navigation Simulator for Outdoor Unstructured Environments.

Giuseppe Vecchio, Riccardo Emanuele Sarpietro, Francesco Cancelliere, Simone Palazzo, Dario C. Guastella, Alessandro Strano, Ignacio Carlucho, Giovanni Muscato, Stefano V. Albrecht, Concetto Spampinato

Proceedings of the European Robotics Forum 2024, 2024

Learning Complex Teamwork Tasks using a Given Sub-task Decomposition.

Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity.

Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht

Trans. Mach. Learn. Res., 2023

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning.

Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht

J. Mach. Learn. Res., 2023

Enhancing AUV Autonomy With Model Predictive Path Integral Control.

Pierre Nicolay, Yvan R. Petillot, Mykhaylo Marfeychuk, Sen Wang, Ignacio Carlucho

CoRR, 2023

Learning Complex Teamwork Tasks using a Sub-task Curriculum.

Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht

CoRR, 2023

Semi-Parametric Control Architecture for Autonomous Underwater Vehicles Subject to Time Delays.

Ignacio Carlucho, Dylan Stephens, William Ard, Corina Barbalata

IEEE Access, 2023

Multi-Agent Reinforcement Learning for Coalitional Bargaining Games.

Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates.

Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht

CoRR, 2022

Few-Shot Teamwork.

Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht

CoRR, 2022

Cooperative Marine Operations via Ad Hoc Teams.

Ignacio Carlucho, Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata, Stefano V. Albrecht

CoRR, 2022

MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments.

Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato

CoRR, 2022

A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems.

Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht

CoRR, 2022

Deep reinforcement learning for multi-agent interaction.

Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht

AI Commun., 2022

Robotic Manipulators Performing Smart Sanding Operation: A Vibration Approach.

Joshua Nguyen, Manuel F. Bailey, Ignacio Carlucho, Corina Barbalata

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Survey of Ad Hoc Teamwork Research.

Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht

Proceedings of the Multi-Agent Systems - 19th European Conference, 2022

2021

Data-driven controllers and the need for perception systems in underwater manipulation.

James P. Oubre, Ignacio Carlucho, Corina Barbalata

CoRR, 2021

From market-ready ROVs to low-cost AUVs.

Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Luczynski, Sean Katagiri, Chandler Lemoine, Joshua Roe, Dylan Stephens, Shida Xu, Yaniel Carreno, Èric Pairet, Corina Barbalata, Yvan R. Petillot, Sen Wang

CoRR, 2021

Marine Vehicles Localization Using Grid Cells for Path Integration.

Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata

CoRR, 2021

2020

A reinforcement learning control approach for underwater manipulation under position and torque constraints.

Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta, Corina Barbalata

CoRR, 2020

Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids.

Luis Omar Ávila, Mariano De Paula, Maximiliano Trimboli, Ignacio Carlucho

Appl. Soft Comput., 2020

2019

A hybrid reinforcement learning perspective for autonomous mobile robot control

Ignacio Carlucho

PhD thesis, 2019

Double <i>Q</i>-PID algorithm for mobile robot control.

Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta

Expert Syst. Appl., 2019

2018

Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning.

Ignacio Carlucho, Mariano De Paula, Sen Wang, Yvan R. Petillot, Gerardo G. Acosta

Robotics Auton. Syst., 2018

2017

Incremental Q-learning strategy for adaptive PID control of mobile robots.

Ignacio Carlucho, Mariano De Paula, Sebastián A. Villar, Gerardo G. Acosta

Expert Syst. Appl., 2017