Pablo Lanillos

Orcid: 0000-0001-9154-0798

Affiliations:
  • Radboud University, Nijmegen, The Netherlands
  • Technical University of Munich, Germany (former)


According to our database1, Pablo Lanillos authored at least 53 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Confidence-Aware Decision-Making and Control for Tool Selection.
CoRR, 2024

Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside".
CoRR, 2024

2023
Special issue on world models and predictive coding in robotics (part II).
Adv. Robotics, October, 2023

Special issue on world models and predictive coding in robotics (Part I).
Adv. Robotics, July, 2023

World models and predictive coding for cognitive and developmental robotics: frontiers and challenges.
Adv. Robotics, July, 2023

Adaptation Through Prediction: Multisensory Active Inference Torque Control.
IEEE Trans. Cogn. Dev. Syst., March, 2023

Robotic Active Tactile Sensing Inspired by Serotonergic Modulation Using Active Inference.
Proceedings of the Biomimetic and Biohybrid Systems - 12th International Conference, 2023

Towards Metacognitive Robot Decision Making for Tool Selection.
Proceedings of the Active Inference - 4th International Workshop, 2023

Adaptive Noise Covariance Estimation Under Colored Noise Using Dynamic Expectation Maximization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Reclaiming saliency: Rhythmic precision-modulated action and perception.
Frontiers Neurorobotics, September, 2022

An Empirical Study of Active Inference on a Humanoid Robot.
IEEE Trans. Cogn. Dev. Syst., 2022

Active inference unifies intentional and conflict-resolution imperatives of motor control.
PLoS Comput. Biol., 2022

How Active Inference Could Help Revolutionise Robotics.
Entropy, 2022

Closed-form control with spike coding networks.
CoRR, 2022

Learning Policies for Continuous Control via Transition Models.
Proceedings of the Active Inference - Third International Workshop, 2022

Object-Based Active Inference.
Proceedings of the Active Inference - Third International Workshop, 2022

The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference.
Proceedings of the Active Inference - Third International Workshop, 2022

2021
Robot in the Mirror: Toward an Embodied Computational Model of Mirror Self-Recognition.
Künstliche Intell., 2021

Active Inference in Robotics and Artificial Agents: Survey and Challenges.
CoRR, 2021

Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization.
CoRR, 2021

Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception.
CoRR, 2021

Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Robot Localization and Navigation Through Predictive Processing Using LiDAR.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Multimodal VAE Active Inference Controller.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
A review on neural network models of schizophrenia and autism spectrum disorder.
Neural Networks, 2020

Editorial: Body Representations, Peripersonal Space, and the Self: Humans, Animals, Robots.
Frontiers Neurorobotics, 2020

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action.
CoRR, 2020

Attention-based active visual search for mobile robots.
Auton. Robots, 2020

A Deep Active Inference Model of the Rubber-Hand Illusion.
Proceedings of the Active Inference - First International Workshop, 2020

Deep Active Inference for Partially Observable MDPs.
Proceedings of the Active Inference - First International Workshop, 2020

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

Robot Self/Other Distinction: Active Inference Meets Neural Networks Learning in a Mirror.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Active inference body perception and action for humanoid robots.
CoRR, 2019

Sensorimotor learning for artificial body perception.
CoRR, 2019

Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine.
Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

A prototype of a P300 based brain-robot interface to enable multi-modal interaction for patients with limited mobility.
Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

2018
Adaptive Robot Body Learning and Estimation Through Predictive Coding.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection: replicating the rubber-hand illusion on a robot.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2017
Yielding Self-Perception in Robots Through Sensorimotor Contingencies.
IEEE Trans. Cogn. Dev. Syst., 2017

A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin.
IEEE Robotics Autom. Lett., 2017

A Bayesian hierarchy for robust gaze estimation in human-robot interaction.
Int. J. Approx. Reason., 2017

Enactive self: A study of engineering perspectives to obtain the sensorimotor self through enaction.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016
Robotic technologies for fast deployment of industrial robot systems.
Proceedings of the IECON 2016, 2016

Multisensory object discovery via self-detection and artificial attention.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Extracting general task structures to accelerate the learning of new tasks.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Gaze Tracing in a Bounded Log-Spherical Space for Artificial Attention Systems.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Designing an artificial attention system for social robots.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Minimum Time Search in Uncertain Dynamic Domains with Complex Sensorial Platforms.
Sensors, 2014

Multi-UAV target search using decentralized gradient-based negotiation with expected observation.
Inf. Sci., 2014

2013
A bayesian approach for constrained multi-agent minimum time search in uncertain dynamic domains.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements.
Sensors, 2012

Minimum time search for lost targets using cross entropy optimization.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2009
Environmental Surface Boundary Tracking and Description using a UAV with Vision.
Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2009


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