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08/15/2023
Adaptive Noise Covariance Estimation under Colored Noise using Dynamic Expectation Maximization
The accurate estimation of the noise covariance matrix (NCM) in a dynami...
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01/14/2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
Creating autonomous robots that can actively explore the environment, ac...
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12/25/2022
Closed-form control with spike coding networks
Efficient and robust control using spiking neural networks (SNNs) is sti...
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09/16/2022
Learning Policies for Continuous Control via Transition Models
It is doubtful that animals have perfect inverse models of their limbs (...
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03/23/2022
Reclaiming saliency: rhythmic precision-modulated action and perception
Computational models of visual attention in artificial intelligence and ...
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12/13/2021
Adaptation through prediction: multisensory active inference torque control
Adaptation to external and internal changes is major for robotic systems...
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12/03/2021
Active Inference in Robotics and Artificial Agents: Survey and Challenges
Active inference is a mathematical framework which originated in computa...
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09/22/2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
Spiking neural networks are a promising approach towards next-generation...
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09/09/2021
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
Despite the potential of active inference for visual-based control, lear...
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09/09/2021
Robot Localization and Navigation through Predictive Processing using LiDAR
Knowing the position of the robot in the world is crucial for navigation...
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05/10/2021
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception
Unlike robots, humans learn, adapt and perceive their bodies by interact...
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03/07/2021
Multimodal VAE Active Inference Controller
Active inference, a theoretical construct inspired by brain processing, ...
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11/09/2020
Robot in the mirror: toward an embodied computational model of mirror self-recognition
Self-recognition or self-awareness is a capacity attributed typically on...
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09/08/2020
Deep Active Inference for Partially Observable MDPs
Deep active inference has been proposed as a scalable approach to percep...
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08/17/2020
A deep active inference model of the rubber-hand illusion
Understanding how perception and action deal with sensorimotor conflicts...
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04/11/2020
Robot self/other distinction: active inference meets neural networks learning in a mirror
Self/other distinction and self-recognition are important skills for int...
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12/28/2019
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action
We present a pixel-based deep Active Inference algorithm (PixelAI) inspi...
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06/25/2019
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine
Perceptual hallucinations are present in neurological and psychiatric di...
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06/24/2019
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
This survey presents the most relevant neural network models of autism s...
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06/07/2019
Active inference body perception and action for humanoid robots
One of the biggest challenges in robotics systems is interacting under u...
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01/15/2019
Sensorimotor learning for artificial body perception
Artificial self-perception is the machine ability to perceive its own bo...
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07/27/2018
Attention-based Active Visual Search for Mobile Robots
We present an active visual search model for finding objects in unknown ...
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05/08/2018