Research

Selected Publications

A selection of my most relevant peer-reviewed work in robotics, reinforcement learning, and control. The full list is available on Google Scholar.

Conference Papers

2025
CTD4 — A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
AAAI 2025 — 39th Annual AAAI Conference on Artificial Intelligence
arXiv AAAI
2024
Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
IROS 2024 — IEEE/RSJ International Conference on Intelligent Robots and Systems
arXiv IEEE Xplore
2023
Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
ICRA 2023 — IEEE International Conference on Robotics and Automation
IEEE Xplore
Full list on Google Scholar →

Theses

2024
Enhancing Reinforcement Learning Efficiency: Novel Distributed Algorithms, Human-Inspired Reward Mechanisms, and State-Space Analysis for Simulated and Real-World Applications
PhD Thesis — University of Auckland, New Zealand
Link
2019
Neurobiological-Inspired Control of Multiple Quadrotors Using Brain Emotional Learning-Based Intelligent Controller (BELBIC) and Fuzzy Logic
Master's Thesis — Kyung Hee University, South Korea
Link
2014
Diseño e implementación de un prototipo de robot asistente para personas con discapacidad motriz y adultos mayores, basado en inteligencia artificial
Engineering Thesis — Salesian Polytechnic University, Ecuador
Link