Tadahiro Taniguchi

research

∙ 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...

0 Hiroki Nakamura, et al. ∙

research

∙ 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...

0 Yusuke Kato, et al. ∙

research

∙ 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...

0 Masashi Okada, et al. ∙

research

∙ 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...

0 Tomoaki Nakamura, et al. ∙

research

∙ 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...

0 Yoshinobu Hagiwara, et al. ∙

research

∙ 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...

0 Ryota Okumura, et al. ∙

research

∙ 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...

0 Jun Inukai, et al. ∙

research

∙ 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...

0 Atsuyoshi Kita, et al. ∙

research

∙ 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...

0 Kuniyuki Takahashi, et al. ∙

research

∙ 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...

19 Tadahiro Taniguchi, et al. ∙

research

∙ 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...

0 Akira Taniguchi, et al. ∙

research

∙ 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...

0 Akira Taniguchi, et al. ∙

research

∙ 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...

0 Kohei Suzuki, et al. ∙

research

∙ 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 ...

0 Kazuma Furukawa, et al. ∙

research

∙ 05/24/2022

Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models

Emergent communication, also known as symbol emergence, seeks to investi...

0 Tadahiro Taniguchi, et al. ∙

research

∙ 03/22/2022

Self-Supervised Representation Learning as Multimodal Variational Inference

This paper proposes a probabilistic extension of SimSiam, a recent self-...

0 Hiroki Nakamura, et al. ∙

research

∙ 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...

0 Akira Taniguchi, et al. ∙

research

∙ 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...

0 Akira Kinose, et al. ∙

research

∙ 03/10/2022

Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector-Socket Insertion

An industrial connector-socket insertion task requires sub-millimeter po...

0 Ryo Okumura, et al. ∙

research

∙ 03/01/2022

DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction

The present paper proposes a novel reinforcement learning method with wo...

0 Masashi Okada, et al. ∙

research

∙ 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 ...

5 Akira Taniguchi, et al. ∙

research

∙ 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...

0 Yoshinobu Hagiwara, et al. ∙

research

∙ 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...

0 Shoki Sakamoto, et al. ∙

research

∙ 06/16/2021

Unsupervised Lexical Acquisition of Relative Spatial Concepts Using Spoken User Utterances

This paper proposes methods for unsupervised lexical acquisition for rel...

0 Rikunari Sagara, et al. ∙

research

∙ 04/05/2021

StarGAN-based Emotional Voice Conversion for Japanese Phrases

This paper shows that StarGAN-VC, a spectral envelope transformation met...

0 Asuka Moritani, et al. ∙

research

∙ 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...

9 Yuki Katsumata, et al. ∙

research

∙ 03/15/2021

Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery

Infants acquire words and phonemes from unsegmented speech signals using...

0 Yasuaki Okuda, et al. ∙

research

∙ 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...

0 Tadahiro Taniguchi, et al. ∙

research

∙ 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...

0 Yoshinobu Hagiwara, et al. ∙

research

∙ 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 ...

0 Toshiyuki T. Yokoyama, et al. ∙

research

∙ 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 ...

0 Masashi Okada, et al. ∙

research

∙ 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...

0 Tatsumi Oba, et al. ∙

research

∙ 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...

0 Masashi Okada, et al. ∙

research

∙ 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 ...

20 Akira Taniguchi, et al. ∙

research

∙ 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 ...

17 Akira Taniguchi, et al. ∙

research

∙ 01/31/2020

Domain-Adversarial and -Conditional State Space Model for Imitation Learning

State representation learning (SRL) in partially observable Markov decis...

0 Ryo Okumura, et al. ∙

research

∙ 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...

0 Tadahiro Taniguchi, et al. ∙

research

∙ 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...

8 Masashi Okada, et al. ∙

research

∙ 07/08/2019

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

In recent studies on model-based reinforcement learning (MBRL), incorpor...

6 Masashi Okada, et al. ∙

research

∙ 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...

0 Akira Kinose, et al. ∙

research

∙ 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...

0 Ryo Nakashima, et al. ∙

research

∙ 05/31/2019

Symbol Emergence as an Interpersonal Multimodal Categorization

This study focuses on category formation for individual agents and the d...

0 Yoshinobu Hagiwara, et al. ∙

research

∙ 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 ...

0 Amir Aly, et al. ∙

research

∙ 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....

0 Akira Taniguchi, et al. ∙

research

∙ 01/26/2018

Symbol Emergence in Cognitive Developmental Systems: a Survey

Symbol emergence through a robot's own interactive exploration of the wo...

0 Tadahiro Taniguchi, et al. ∙

research

∙ 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...

0 Tomoaki Nakamura, et al. ∙

research

∙ 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...

0 Akira Taniguchi, et al. ∙

research

∙ 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...

0 Akira Taniguchi, et al. ∙

research

∙ 10/01/2015

Multimodal Hierarchical Dirichlet Process-based Active Perception

In this paper, we propose an active perception method for recognizing ob...

0 Tadahiro Taniguchi, et al. ∙

research

∙ 09/29/2015

Symbol Emergence in Robotics: A Survey

Humans can learn the use of language through physical interaction with t...

0 Tadahiro Taniguchi, et al. ∙

Tadahiro Taniguchi

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