Publicacións en colaboración con investigadores/as de University of Ulster (37)

2023

  1. Concurrent Skill Composition Using Ensemble of Primitive Skills

    IEEE Transactions on Cognitive and Developmental Systems, Vol. 15, Núm. 4, pp. 1879-1890

  2. Reinforcement Learning for Bio-Inspired Stochastic Robot Control

    2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023

2021

  1. Active Vision-Based Attention Monitoring System for Non-Distracted Driving

    IEEE Access, Vol. 9, pp. 28540-28557

  2. Open-Ended Continuous Learning of Compound Goals

    IEEE Transactions on Cognitive and Developmental Systems, Vol. 13, Núm. 2, pp. 274-285

  3. Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors

    2021 European Control Conference, ECC 2021

2019

  1. A neural circuit model of decision uncertainty and change-of-mind

    Nature Communications, Vol. 10, Núm. 1

  2. Beyond reach: Do symmetric changes in motor costs affect decision making? a registered report

    Judgment and Decision Making, Vol. 14, Núm. 4, pp. 455-469

  3. Reliable robotic handovers through tactile sensing

    Autonomous Robots, Vol. 43, Núm. 7, pp. 1623-1637

  4. Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers

    2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019

2018

  1. A single chip system for sensor data fusion based on a Drift-diffusion model

    2017 Intelligent Systems Conference, IntelliSys 2017

  2. Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction

    Paladyn, Vol. 9, Núm. 1, pp. 235-253

  3. Intrinsic rewards for maintenance, approach, avoidance, and achievement goal types

    Frontiers in Neurorobotics, Vol. 12, Núm. October

  4. Modular continuous learning framework

    2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2018

  5. Multimodal Material identification through recursive tactile sensing

    Robotics and Autonomous Systems, Vol. 106, pp. 130-139

2017

  1. A biologically inspired controller to solve the coverage problem in robotics

    Bioinspiration & biomimetics, Vol. 12, Núm. 3, pp. 035002

  2. A drift diffusion model of biological source seeking for mobile robots

    Proceedings - IEEE International Conference on Robotics and Automation

  3. A review of the relationship between novelty, intrinsic motivation and reinforcement learning

    Paladyn, Vol. 8, Núm. 1, pp. 58-69

  4. Reinforcement learning for bio-inspired target seeking

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)