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)

Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning. - Ignacio Carlucho; Mariano De Paula; Sen Wang 002; Yvan R. Petillot; Gerardo G. Acosta (Robotics Auton. Syst., 2018)

Double Q-PID algorithm for mobile robot control. - Ignacio Carlucho; Mariano De Paula; Gerardo G. Acosta (Expert Syst. Appl., 2019)

A hybrid reinforcement learning perspective for autonomous mobile robot control - Ignacio Carlucho (2019)

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)

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)

Marine Vehicles Localization Using Grid Cells for Path Integration. - Ignacio Carlucho; Manuel F. Bailey; Mariano De Paula; 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; et al. (CoRR, 2021)

Data-driven controllers and the need for perception systems in underwater manipulation. - James P. Oubre; Ignacio Carlucho; Corina Barbalata (CoRR, 2021)

A Survey of Ad Hoc Teamwork Research. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (EUMAS, 2022)

Robotic Manipulators Performing Smart Sanding Operation: A Vibration Approach. - Joshua Nguyen; Manuel F. Bailey; Ignacio Carlucho; Corina Barbalata (ICRA, 2022)

Deep reinforcement learning for multi-agent interaction. - Ibrahim H. Ahmed 006; Cillian Brewitt; Ignacio Carlucho; Filippos Christianos; Mhairi Dunion; Elliot Fosong; Samuel Garcin; Shangmin Guo; Balint Gyevnar; Trevor McInroe; Georgios Papoudakis; Arrasy Rahman; et al. (AI Commun., 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 001; 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)

Cooperative Marine Operations via Ad Hoc Teams. - Ignacio Carlucho; Arrasy Rahman; William Ard; Elliot Fosong; Corina Barbalata; Stefano V. Albrecht (CoRR, 2022)

Few-Shot Teamwork. - Elliot Fosong; Arrasy Rahman; Ignacio Carlucho; Stefano V. Albrecht (CoRR, 2022)

Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates. - Arrasy Rahman; Elliot Fosong; Ignacio Carlucho; Stefano V. Albrecht (CoRR, 2022)

Multi-Agent Reinforcement Learning for Coalitional Bargaining Games. - Lucia Cipolina-Kun; Stephen Mak; Ignacio Carlucho; Vahid Yazdanpanah; Sebastian Stein 001; Enrico H. Gerding; Kalesha Bullard (Tiny Papers @ ICLR, 2023)

Semi-Parametric Control Architecture for Autonomous Underwater Vehicles Subject to Time Delays. - Ignacio Carlucho; Dylan Stephens; William Ard; Corina Barbalata (IEEE Access, 2023)

Learning Complex Teamwork Tasks using a Sub-task Curriculum. - Elliot Fosong; Arrasy Rahman; Ignacio Carlucho; Stefano V. Albrecht (CoRR, 2023)

Enhancing AUV Autonomy With Model Predictive Path Integral Control. - Pierre Nicolay; Yvan R. Petillot; Mykhaylo Marfeychuk; Sen Wang 002; Ignacio Carlucho (CoRR, 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)

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)

Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. - Elliot Fosong; Arrasy Rahman; Ignacio Carlucho; Stefano V. Albrecht (AAMAS, 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 (ERF (1), 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 (IJCNN, 2024)

FRAGG-Map: Frustum Accelerated GPU-Based Grid Map. - Michele Grimaldi; Narcís Palomeras; Ignacio Carlucho; Yvan R. Petillot; Pere Ridao Rodriguez (IROS, 2024)

Digital Twins Below the Surface: Enhancing Underwater Teleoperation. - Favour O. Adetunji; Niamh Ellis; Maria Koskinopoulou; Ignacio Carlucho; Yvan R. Petillot (CoRR, 2024)

MarineGym: Accelerated Training for Underwater Vehicles with High-Fidelity RL Simulation. - Shuguang Chu; Zebin Huang; Mingwei Lin; Dejun Li; Ignacio Carlucho (CoRR, 2024)

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 (ICORR, 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 (TAROS, 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 (TAROS, 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 (CoRR, 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, 2025)

Context-Aware Behavior Learning with Heuristic Motion Memory for Underwater Manipulation. - Markus Buchholz; Ignacio Carlucho; Michele Grimaldi; Maria Koskinopoulou; Yvan R. Petillot (CoRR, 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, 2025)

Distributed AI Agents for Cognitive Underwater Robot Autonomy. - Markus Buchholz; Ignacio Carlucho; Michele Grimaldi; Yvan R. Petillot (CoRR, 2025)

Tethered Multi-Robot Systems in Marine Environments. - Markus Buchholz; Ignacio Carlucho; Michele Grimaldi; Yvan R. Petillot (CoRR, 2025)

Framework for Robust Motion Planning of Tethered Multi-Robot Systems in Marine Environments. - Markus Buchholz; Ignacio Carlucho; Zebin Huang; Michele Grimaldi; Pierre Nicolay; Sumer Tuncay; Yvan R. Petillot (CoRR, 2025)