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09/08/2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Self-supervised learning (SSL) using mixed images has been studied to le...
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08/04/2023
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
The process of industrial box-packing, which involves the accurate place...
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07/28/2023
Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-objective Bayesian Optimization with Priors
Rather than traditional position control, impedance control is preferred...
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07/11/2023
Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
This paper proposes a generative probabilistic model integrating emergen...
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06/27/2023
Symbol emergence as interpersonal cross-situational learning: the emergence of lexical knowledge with combinatoriality
We present a computational model for a symbol emergence system that enab...
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05/31/2023
Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study
In this study, we explore the emergence of symbols during interactions b...
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05/31/2023
Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models
In the studies on symbol emergence and emergent communication in a popul...
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02/03/2023
Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times
This study explores the problem of Multi-Agent Path Finding with continu...
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01/27/2023
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization
To perform dynamic cable manipulation to realize the configuration speci...
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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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11/20/2022
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation
Autonomous robots are required to actively and adaptively learn the cate...
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07/06/2022
Brain-inspired probabilistic generative model for double articulation analysis of spoken language
The human brain, among its several functions, analyzes the double articu...
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06/09/2022
Speak Like a Dog: Human to Non-human creature Voice Conversion
This paper proposes a new voice conversion (VC) task from human speech t...
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05/24/2022
Symbol Emergence as Inter-personal Categorization with Head-to-head Latent Word
In this study, we propose a head-to-head type (H2H-type) inter-personal ...
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05/24/2022
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models
Emergent communication, also known as symbol emergence, seeks to investi...
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03/22/2022
Self-Supervised Representation Learning as Multimodal Variational Inference
This paper proposes a probabilistic extension of SimSiam, a recent self-...
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03/21/2022
Spatial Concept-based Topometric Semantic Mapping for Hierarchical Path-planning from Speech Instructions
Navigating to destinations using human speech instructions is an importa...
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03/15/2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
In this paper, we propose Multi-View Dreaming, a novel reinforcement lea...
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03/10/2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector-Socket Insertion
An industrial connector-socket insertion task requires sub-millimeter po...
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03/01/2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
The present paper proposes a novel reinforcement learning method with wo...
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01/18/2022
Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues
Human infants acquire their verbal lexicon from minimal prior knowledge ...
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09/15/2021
Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inference
This paper describes a computational model of multiagent multimodal cate...
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08/10/2021
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition
Preserving the linguistic content of input speech is essential during vo...
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06/16/2021
Unsupervised Lexical Acquisition of Relative Spatial Concepts Using Spoken User Utterances
This paper proposes methods for unsupervised lexical acquisition for rel...
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04/05/2021
StarGAN-based Emotional Voice Conversion for Japanese Phrases
This paper shows that StarGAN-VC, a spectral envelope transformation met...
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03/16/2021
Map completion from partial observation using the global structure of multiple environmental maps
Using the spatial structure of various indoor environments as prior know...
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03/15/2021
Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
Infants acquire words and phonemes from unsegmented speech signals using...
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03/15/2021
Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots
Building a humanlike integrative artificial cognitive system, that is, a...
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03/11/2021
Hierarchical Bayesian Model for the Transfer of Knowledge on Spatial Concepts based on Multimodal Information
This paper proposes a hierarchical Bayesian model based on spatial conce...
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08/23/2020
Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs
Annual recruitment data of new graduates are manually analyzed by human ...
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07/29/2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
In the present paper, we propose a decoder-free extension of Dreamer, a ...
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07/17/2020
Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems
Whitelisting is considered an effective security monitoring method for n...
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03/01/2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
In the present paper, we propose an extension of the Deep Planning Netwo...
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02/18/2020
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
Robots are required to not only learn spatial concepts autonomously but ...
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02/10/2020
Autonomous Planning Based on Spatial Concepts to Tidy Up Home Environments with Service Robots
Tidy-up tasks by service robots in home environments are challenging in ...
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01/31/2020
Domain-Adversarial and -Conditional State Space Model for Imitation Learning
State representation learning (SRL) in partially observable Markov decis...
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10/20/2019
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models
This paper describes a framework for the development of an integrative c...
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09/16/2019
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor
It is an effective strategy for the multi-person pose tracking task in v...
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07/08/2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
In recent studies on model-based reinforcement learning (MBRL), incorpor...
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07/03/2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model
Integration of reinforcement learning and imitation learning is an impor...
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06/21/2019
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias
This paper describes a new unsupervised machine learning method for simu...
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05/31/2019
Symbol Emergence as an Interpersonal Multimodal Categorization
This study focuses on category formation for individual agents and the d...
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12/12/2018
Towards Understanding Language through Perception in Situated Human-Robot Interaction: From Word Grounding to Grammar Induction
Robots are widely collaborating with human users in diferent tasks that ...
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03/09/2018
SpCoSLAM 2.0: An Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping
In this paper, we propose a novel online learning algorithm, SpCoSLAM 2....
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01/26/2018
Symbol Emergence in Cognitive Developmental Systems: a Survey
Symbol emergence through a robot's own interactive exploration of the wo...
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12/04/2017
SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model
To realize human-like robot intelligence, a large-scale cognitive archit...
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04/15/2017
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
In this paper, we propose an online learning algorithm based on a Rao-Bl...
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02/03/2016
Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences
In this paper, we propose a novel unsupervised learning method for the l...
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10/01/2015
Multimodal Hierarchical Dirichlet Process-based Active Perception
In this paper, we propose an active perception method for recognizing ob...
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09/29/2015