Tadahiro Taniguchi
Orcid: 0000-0002-5682-2076
According to our database1,
Tadahiro Taniguchi
authored at least 179 papers
between 2003 and 2024.
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Bibliography
2024
CoRR, 2024
A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation.
CoRR, 2024
Visual-Language Decision System Through Integration of Foundation Models for Service Robot Navigation.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024
Mixed Reality-Based 6D-Pose Annotation System for Robot Manipulation in Retail Environments.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024
Interactive Learning System for 3D Semantic Segmentation with Autonomous Mobile Robots.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024
2023
Unsupervised Multimodal Word Discovery Based on Double Articulation Analysis With Co-Occurrence Cues.
IEEE Trans. Cogn. Dev. Syst., December, 2023
Emergent communication through Metropolis-Hastings naming game with deep generative models.
Adv. Robotics, October, 2023
Adv. Robotics, October, 2023
Adv. Robotics, October, 2023
Dream to posture: visual posturing of a tendon-driven hand using world model and muscle synergies.
Adv. Robotics, October, 2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
Active exploration based on information gain by particle filter for efficient spatial concept formation.
Adv. Robotics, July, 2023
Adv. Robotics, July, 2023
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges.
Adv. Robotics, July, 2023
Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study.
Frontiers Artif. Intell., February, 2023
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models.
Frontiers Artif. Intell., February, 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning.
CoRR, 2023
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE.
CoRR, 2023
Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning.
CoRR, 2023
Symbol emergence as interpersonal cross-situational learning: the emergence of lexical knowledge with combinatoriality.
CoRR, 2023
Active Semantic Mapping for Household Robots: Rapid Indoor Adaptation and Reduced User Burden.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Reflectance Estimation for Pre-grasping Distance Measurement using RGB and Proximity Sensing.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023
Inferring Place-Object Relationships by Integrating Probabilistic Logic and Multimodal Spatial Concepts.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023
Serket-SDE: A Containerized Software Development Environment for the Symbol Emergence in Robotics Toolkit.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023
Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-Objective Bayesian Optimization with Priors.
IROS, 2023
A Bayesian Reinforcement Learning Method for Periodic Robotic Control Under Significant Uncertainty.
IROS, 2023
Multi-agent Reinforcement Learning with Emergent Communication using Discrete and Indifferentiable Message.
Proceedings of the 15th International Congress on Advanced Applied Informatics Winter, 2023
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Development and Learning, 2023
Lexical Acquisition from Audio-Visual Streams Using a Multimodal Recurrent State-Space Model.
Proceedings of the IEEE International Conference on Development and Learning, 2023
Lexical Acquisition with Cross-Situational Learning Based on Mutual Segmentation of Sentences and Multi-Attribute Sensory Information.
Proceedings of the IEEE International Conference on Development and Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Toward resilient manipulation of food products: Analysis of 6D-pose estimation at the Future Convenience Store Challenge 2022.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots.
Neural Networks, 2022
Automatic selection of coordinate systems for learning relative and absolute spatial concepts.
Frontiers Robotics AI, 2022
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models.
CoRR, 2022
CoRR, 2022
Spatial Concept-based Topometric Semantic Mapping for Hierarchical Path-planning from Speech Instructions.
CoRR, 2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector-Socket Insertion.
CoRR, 2022
Versatile cleaning service robot based on a mobile manipulator with tool switching for liquids and garbage removal in restrooms.
Adv. Robotics, 2022
Adv. Robotics, 2022
Adv. Robotics, 2022
Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances.
Adv. Robotics, 2022
Autonomous service robot for human-aware restock, straightening and disposal tasks in retail automation.
Adv. Robotics, 2022
Map completion from partial observation using the global structure of multiple environmental maps.
Adv. Robotics, 2022
Hierarchical Bayesian model for the transfer of knowledge on spatial concepts based on multimodal information.
Adv. Robotics, 2022
Multiagent multimodal categorization for symbol emergence: emergent communication via interpersonal cross-modal inference.
Adv. Robotics, 2022
Optical laser microphone for human-robot interaction: speech recognition in extremely noisy service environments.
Adv. Robotics, 2022
Extending HoloGAN by Embedding Image Content into Latent Vectors for Novel View Synthesis.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Human Action Categorization System using Body Pose Estimation for Multimodal Observations from Single Camera.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Action-Feasibility-Based Pragmatic Understanding of Ambiguous Instructions by Service Robots.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Neural Network-based Motion Feasibility Checker to Validate Instructions in Rearrangement Tasks before Execution by Robots.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Multimodal Object Categorization with Reduced User Load through Human-Robot Interaction in Mixed Reality.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Brain-inspired probabilistic generative model for double articulation analysis of spoken language.
Proceedings of the IEEE International Conference on Development and Learning, 2022
Proceedings of the IEEE International Conference on Development and Learning, 2022
Proceedings of the IEEE International Conference on Development and Learning, 2022
2021
Robot Concept Acquisition Based on Interaction Between Probabilistic and Deep Generative Models.
Frontiers Comput. Sci., 2021
Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery.
CoRR, 2021
Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots.
CoRR, 2021
Autonomous planning based on spatial concepts to tidy up home environments with service robots.
Adv. Robotics, 2021
Semiotically adaptive cognition: toward the realization of remotely-operated service robots for the new normal symbiotic society.
Adv. Robotics, 2021
Extra special issue on Soft/Social/Systemic (3S) Robot Technologies for enhancing Quality of New Normal (QoNN).
Adv. Robotics, 2021
Active Exploration for Unsupervised Object Categorization Based on Multimodal Hierarchical Dirichlet Process.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021
Bidirectional Generation of Object Images and Positions using Deep Generative Models for Service Robotics Applications.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021
Teaching System for Multimodal Object Categorization by Human-Robot Interaction in Mixed Reality.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021
StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Simultaneous Learning of Relative and Absolute Spatial Concepts without Any Prior Distinction.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021
On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems Based on Probabilistic Generative Models.
Proceedings of the Music in the AI Era - 15th International Symposium, 2021
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models.
New Gener. Comput., 2020
Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs.
CoRR, 2020
Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems.
CoRR, 2020
Improved and scalable online learning of spatial concepts and language models with mapping.
Auton. Robots, 2020
Spatial concept-based navigation with human speech instructions via probabilistic inference on Bayesian generative model.
Adv. Robotics, 2020
Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model.
Adv. Robotics, 2020
System for augmented human-robot interaction through mixed reality and robot training by non-experts in customer service environments.
Adv. Robotics, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
SpCoMapGAN: Spatial Concept Formation-based Semantic Mapping with Generative Adversarial Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Blind Bin Picking of Small Screws Through In-finger Manipulation With Compliant Robotic Fingers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
IEEE Trans. Cogn. Dev. Syst., 2019
Learning to Communicate: Challenges in Language Learning by AI, Robots and Humans (NII Shonan Meeting 150).
NII Shonan Meet. Rep., 2019
Robust Understanding of Robot-Directed Speech Commands Using Sequence to Sequence With Noise Injection.
Frontiers Robotics AI, 2019
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias.
Frontiers Robotics AI, 2019
Semantic Mapping Based on Spatial Concepts for Grounding Words Related to Places in Daily Environments.
Frontiers Robotics AI, 2019
Frontiers Robotics AI, 2019
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics.
Frontiers Neurorobotics, 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model.
CoRR, 2019
Section focused on machine learning methods for high-level cognitive capabilities in robotics.
Adv. Robotics, 2019
Evaluation of Word Representations in Grounding Natural Language Instructions Through Computational Human-Robot Interaction.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019
Proceedings of the Human-Computer Interaction. Design Practice in Contemporary Societies, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder.
Sensors, 2018
Unsupervised spatial lexical acquisition by updating a language model with place clues.
Robotics Auton. Syst., 2018
Frontiers Neurorobotics, 2018
SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model.
Frontiers Neurorobotics, 2018
Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots.
Frontiers Neurorobotics, 2018
Towards Understanding Language through Perception in Situated Human-Robot Interaction: From Word Grounding to Grammar Induction.
CoRR, 2018
SpCoSLAM 2.0: An Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping.
CoRR, 2018
Learning Oscillator-Based Gait Controller for String-Form Soft Robots Using Parameter-Exploring Policy Gradients.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Acceleration of Gradient-Based Path Integral Method for Efficient Optimal and Inverse Optimal Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Towards Understanding Object-Directed Actions: A Generative Model for Grounding Syntactic Categories of Speech Through Visual Perception.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Accelerated Nonparametric Bayesian Double Articulation Analyzer for Unsupervised Word Discovery.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018
2017
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning.
IEEE Trans. Intell. Transp. Syst., 2017
Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots.
Frontiers Neurorobotics, 2017
Bayesian body schema estimation using tactile information obtained through coordinated random movements.
Adv. Robotics, 2017
Learning Relationships Between Objects and Places by Multimodal Spatial Concept with Bag of Objects.
Proceedings of the Social Robotics - 9th International Conference, 2017
Prediction of driving behavior based on sequence to sequence model with parametric bias.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Online spatial concept and lexical acquisition with simultaneous localization and mapping.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Comparative study of feature extraction methods for direct word discovery with NPB-DAA from natural speech signals.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
Unsupervised learning for spoken word production based on simultaneous word and phoneme discovery without transcribed data.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
A generative framework for multimodal learning of spatial concepts and object categories: An unsupervised part-of-speech tagging and 3D visual perception based approach.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
2016
IEEE Trans. Syst. Man Cybern. Syst., 2016
IEEE Trans. Intell. Transp. Syst., 2016
Spatial Concept Acquisition for a Mobile Robot That Integrates Self-Localization and Unsupervised Word Discovery From Spoken Sentences.
IEEE Trans. Cogn. Dev. Syst., 2016
Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition From Continuous Speech Signals.
IEEE Trans. Cogn. Dev. Syst., 2016
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14).
NII Shonan Meet. Rep., 2016
Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals.
Adv. Robotics, 2016
Analysis of slow dynamics of kinematic structure estimation after physical disorder: Constructive approach toward phantom limb pain.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2016
Driving word2vec: Distributed semantic vector representation for symbolized naturalistic driving data.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
Direct word discovery from speech signals based on hierarchical Dirichlet process-hidden language model and deep sparse autoencoder.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
Proceedings of the Intelligent Autonomous Systems 14, 2016
Proceedings of the Intelligent Autonomous Systems 14, 2016
Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder.
Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016
2015
Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points.
IEEE Trans. Intell. Transp. Syst., 2015
CoRR, 2015
Nonparametic Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals.
CoRR, 2015
Automated Linear Function Submission-based Double Auction for Emergent Real-Time Pricing in a Regional Smart Grid.
CoRR, 2015
Automatic lane change extraction based on temporal patterns of symbolized driving behavioral data.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Proceedings of the IECON 2015, 2015
Statistical localization exploiting convolutional neural network for an autonomous vehicle.
Proceedings of the IECON 2015, 2015
2014
Prediction of Next Contextual Changing Point of Driving Behavior Using Unsupervised Bayesian Double Articulation Analyzer.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Feature Extraction and Pattern Recognition for Human Motion by a Deep Sparse Autoencoder.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014
2013
Abstraction Multimodal Low-Dimensional Representation from High-Dimensional Posture Information and Visual Images.
J. Robotics Mechatronics, 2013
Encouraging User Interaction of Social Network through Tweet Recommendation Using Community Structure.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
2012
Finding meaningful robust chunks from driving behavior based on double articulation analyzer.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2012
Decentralized trading and demand side response in inter-intelligent renewable energy network.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
Drive video summarization based on double articulation structure of driving behavior.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012
Semiotic prediction of driving behavior using unsupervised double articulation analyzer.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012
Contextual scene segmentation of driving behavior based on double articulation analyzer.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Online learning of concepts and words using multimodal LDA and hierarchical Pitman-Yor Language Model.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
2011
Unsupervised Segmentation of Human Motion Data Using a Sticky Hierarchical Dirichlet Process-Hidden Markov Model and Minimal Description Length-Based Chunking Method for Imitation Learning.
Adv. Robotics, 2011
Proceedings of the Human-Computer Interaction. Design and Development Approaches, 2011
Proceedings of the Human-Computer Interaction. Design and Development Approaches, 2011
2010
Simultaneous estimation of role and response strategy in human-robot role-reversal imitation learning.
Proceedings of the 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (2010), Valenciennes, France, August 31, 2010
Robots that Learn to Communicate: A Developmental Approach to Personally and Physically Situated Human-Robot Conversations.
Proceedings of the Dialog with Robots, 2010
2008
Incremental acquisition of multiple nonlinear forward models based on differentiation process of schema model.
Neural Networks, 2008
J. Robotics Mechatronics, 2008
Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
Imitation Learning from Unsegmented Human Motion Using Switching Autoregressive Model and Singular Vector Decomposition.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2007
Incremental acquisition of behaviors and signs based on a reinforcement learning schemata model and a spike timing-dependent plasticity network.
Adv. Robotics, 2007
2005
Adaptive organization of generalized behavioral concepts for autonomous robots: schema-based modular reinforcement learning.
Proceedings of the CIRA 2005, 2005
2004
Proceedings of the IEEE International Conference on Systems, 2004
2003
Assimilation and accommodation for self-organizational learning of autonomous robots: proposal of dual-schemata model.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003