Unbiased active inference for classical control

M Baioumy, C Pezzato, R Ferrari… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Active inference is a mathematical framework that originated in computational neuroscience.
Recently, it has been demonstrated as a promising approach for constructing goal-driven …

Active inference for integrated state-estimation, control, and learning

M Baioumy, P Duckworth, B Lacerda… - … on Robotics and …, 2021 - ieeexplore.ieee.org
This work presents an approach for control, state-estimation and learning model (hyper)
parameters for robotic manipulators. It is based on the active inference framework …

A novel adaptive controller for robot manipulators based on active inference

C Pezzato, R Ferrari, CH Corbato - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
More adaptive controllers for robot manipulators are needed, which can deal with large
model uncertainties. This letter presents a novel active inference controller (AIC) as an …

Multimodal vae active inference controller

C Meo, P Lanillos - 2021 IEEE/RSJ International Conference on …, 2021 - ieeexplore.ieee.org
Active inference, a theoretical construct inspired by brain processing, is a promising
alternative to control artificial agents. However, current methods do not yet scale to high …

Active inference in robotics and artificial agents: Survey and challenges

P Lanillos, C Meo, C Pezzato, AA Meera… - arXiv preprint arXiv …, 2021 - arxiv.org
Active inference is a mathematical framework which originated in computational
neuroscience as a theory of how the brain implements action, perception and learning …

Learning policies for continuous control via transition models

J Huebotter, S Thill, M Gerven, P Lanillos - International Workshop on …, 2022 - Springer
It is doubtful that animals have perfect inverse models of their limbs (eg, what muscle
contraction must be applied to every joint to reach a particular location in space). However …

Active inference or control as inference? A unifying view

A Imohiosen, J Watson, J Peters - … Workshop, IWAI 2020, Co-located with …, 2020 - Springer
Active inference (AI) is a persuasive theoretical framework from computational neuroscience
that seeks to describe action and perception as inference-based computation. However, this …

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

P Lanillos, M van Gerven - arXiv preprint arXiv:2105.04261, 2021 - arxiv.org
Unlike robots, humans learn, adapt and perceive their bodies by interacting with the world.
Discovering how the brain represents the body and generates actions is of major importance …

Variational inference for predictive and reactive controllers

M Baioumy, M Mattamala, N Hawes - 2020 - ora.ox.ac.uk
Active inference is a general framework for decision-making prominent neuroscience that
utilizes variational inference. Recent work in robotics adopted this framework for control and …

Deep active inference in control tasks

A Zelenov, V Krylov - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Modern robotic control tasks are usually solved by applying reinforcement learning
techniques. In this paper we show that deep active inference can be applied for creating …