Ignacio Carlucho

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Autonomous Underwater Vehicles

Reinforcement Learning

Top Venues

Expert Syst. Appl.

Publications

Favour O. Adetunji, Niamh Ellis, Maria Koskinopoulou, Ignacio Carlucho, Yvan R. Petillot
Digital Twins Below the Surface: Enhancing Underwater Teleoperation. CoRR (2024)
Hao Yu, Zebin Huang, Qingbo Liu, Ignacio Carlucho, Mustafa Suphi Erden
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows. CoRR (2024)
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. AAMAS (2024)
Ignacio Carlucho, Dylan Stephens, William Ard, Corina Barbalata
Semi-Parametric Control Architecture for Autonomous Underwater Vehicles Subject to Time Delays. IEEE Access 11 (2023)
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
Learning Complex Teamwork Tasks using a Sub-task Curriculum. CoRR (2023)
Pierre Nicolay, Yvan R. Petillot, Mykhaylo Marfeychuk, Sen Wang, Ignacio Carlucho
Enhancing AUV Autonomy With Model Predictive Path Integral Control. CoRR (2023)
Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard
Multi-Agent Reinforcement Learning for Coalitional Bargaining Games. Tiny Papers @ ICLR (2023)
Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity. Trans. Mach. Learn. Res. 2023 (2023)
Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. CoRR (2022)
Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments. CoRR (2022)
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. CoRR (2022)
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
A Survey of Ad Hoc Teamwork Research. EUMAS (2022)
Joshua Nguyen, Manuel F. Bailey, Ignacio Carlucho, Corina Barbalata
Robotic Manipulators Performing Smart Sanding Operation: A Vibration Approach. ICRA (2022)
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
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR (2022)
Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht
Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates. CoRR (2022)
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
Deep reinforcement learning for multi-agent interaction. AI Commun. 35 (4) (2022)
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
Few-Shot Teamwork. CoRR (2022)
Ignacio Carlucho, Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata, Stefano V. Albrecht
Cooperative Marine Operations via Ad Hoc Teams. CoRR (2022)
Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata
Marine Vehicles Localization Using Grid Cells for Path Integration. CoRR (2021)
James P. Oubre, Ignacio Carlucho, Corina Barbalata
Data-driven controllers and the need for perception systems in underwater manipulation. CoRR (2021)
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
From market-ready ROVs to low-cost AUVs. CoRR (2021)
Luis Omar Ávila, Mariano De Paula, Maximiliano Trimboli, Ignacio Carlucho
Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids. Appl. Soft Comput. 97 (Part B) (2020)
Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta, Corina Barbalata
A reinforcement learning control approach for underwater manipulation under position and torque constraints. CoRR (2020)
Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta
-PID algorithm for mobile robot control. Expert Syst. Appl. 137 (2019)
Ignacio Carlucho, Mariano De Paula, Sen Wang, Yvan R. Petillot, Gerardo G. Acosta
Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning. Robotics Auton. Syst. 107 (2018)
Ignacio Carlucho, Mariano De Paula, Sebastián A. Villar, Gerardo G. Acosta
Incremental Q-learning strategy for adaptive PID control of mobile robots. Expert Syst. Appl. 80 (2017)