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04/11/2023
Habits and goals in synergy: a variational Bayesian framework for behavior
How to behave efficiently and flexibly is a central problem for understa...
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03/27/2023
Human-Robot Kinaesthetic Interaction Based on Free Energy Principle
The current study investigated possible human-robot kinaesthetic interac...
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05/05/2022
Morphological Wobbling Can Help Robots Learn
We propose to make the physical characteristics of a robot oscillate whi...
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02/26/2022
Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences
Robot kinematics data, despite being a high dimensional process, is high...
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02/21/2022
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments
We show that goal-directed action planning and generation in a teleologi...
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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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11/04/2021
Sensory attenuation develops as a result of sensorimotor experience
The brain attenuates its responses to self-produced exteroceptions (e.g....
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06/18/2021
Goal-Directed Planning by Reinforcement Learning and Active Inference
What is the difference between goal-directed and habitual behavior? We p...
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03/03/2021
Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach
This study investigated how social interaction among robotic agents chan...
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02/18/2021
Learning Memory-Dependent Continuous Control from Demonstrations
Efficient exploration has presented a long-standing challenge in reinfor...
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10/28/2020
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution
Evolution and development operate at different timescales; generations f...
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06/29/2020
Towards hybrid primary intersubjectivity: a neural robotics library for human science
Human-robot interaction is becoming an interesting area of research in c...
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05/27/2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network
It is crucial to ask how agents can achieve goals by generating action p...
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02/05/2020
Investigation of Multimodal and Agential Interactions in Human-Robot Imitation, based on frameworks of Predictive Coding and Active Inference
This study proposes a model for multimodal, imitative interaction of age...
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12/23/2019
Variational Recurrent Models for Solving Partially Observable Control Tasks
In partially observable (PO) environments, deep reinforcement learning (...
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11/05/2019
Cognitive and motor compliance in intentional human-robot interaction
Embodiment and subjective experience in human-robot interaction are impo...
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04/05/2019
A Neurorobotics Approach to Investigating the Emergence of Communication in Robots
This paper introduces our approach to building a robot with communicatio...
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03/12/2019
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory
Mental simulation is a critical cognitive function for goal-directed beh...
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01/29/2019
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN
Although recurrent neural networks (RNNs) for reinforcement learning (RL...
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11/04/2018
Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN
This study introduces a stochastic predictive-coding RNN model that can ...
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05/28/2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
Humans excel at continually acquiring and fine-tuning knowledge over sus...
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05/15/2018
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment
In this study, we investigate how a robot can generate novel and creativ...
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03/07/2018
Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model
The current paper presents how a predictive coding type deep recurrent n...
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08/02/2017
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
The current paper proposes a novel predictive coding type neural network...
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06/30/2017
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model
The current paper proposes a novel variational Bayes predictive coding R...
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06/08/2017
Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning
This study presents a dynamic neural network model based on the predicti...
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06/08/2017
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach
This study investigates how adequate coordination among the different co...
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05/24/2017
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition
Based on the progress of image recognition, video recognition has been e...
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06/06/2016
Predictive Coding for Dynamic Vision : Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
The current paper presents a novel recurrent neural network model, the p...
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05/11/2016
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs
The paper presents a neurorobotics cognitive model to explain the unders...
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02/05/2016
