Ignacio Carlucho

According to our database, Ignacio Carlucho authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

2024

Digital Twins Below the Surface: Enhancing Underwater Teleoperation.

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

CoRR, 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

CoRR, 2024

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

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

Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, 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

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

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