Akira Taniguchi
Orcid: 0000-0003-0678-1103
According to our database1,
Akira Taniguchi
authored at least 52 papers
between 2015 and 2024.
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Bibliography
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
Maximum isotope accumulation in the retrosplenial cortex during amnesia attack and its temporal change suggest cortical spreading depression as a pathophysiology of patients with transient global amnesia.
Int. J. Imaging Syst. Technol., November, 2023
Emergent communication through Metropolis-Hastings naming game with deep generative models.
Adv. Robotics, October, 2023
Active exploration based on information gain by particle filter for efficient spatial concept formation.
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
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
Inferring Place-Object Relationships by Integrating Probabilistic Logic and Multimodal Spatial Concepts.
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
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
2022
Frontiers Neurorobotics, September, 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
Spatial Concept-based Topometric Semantic Mapping for Hierarchical Path-planning from Speech Instructions.
CoRR, 2022
Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances.
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
Extending HoloGAN by Embedding Image Content into Latent Vectors for Novel View Synthesis.
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
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
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
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
Simultaneous Learning of Relative and Absolute Spatial Concepts without Any Prior Distinction.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021
2020
Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models.
New Gener. Comput., 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
System for augmented human-robot interaction through mixed reality and robot training by non-experts in customer service environments.
Adv. Robotics, 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
2019
Semantic Mapping Based on Spatial Concepts for Grounding Words Related to Places in Daily Environments.
Frontiers Robotics AI, 2019
Frontiers Robotics AI, 2019
2018
Unsupervised spatial lexical acquisition by updating a language model with place clues.
Robotics Auton. Syst., 2018
SpCoSLAM 2.0: An Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping.
CoRR, 2018
2017
Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots.
Frontiers Neurorobotics, 2017
Learning Relationships Between Objects and Places by Multimodal Spatial Concept with Bag of Objects.
Proceedings of the Social Robotics - 9th International Conference, 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
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
Spatial Concept Acquisition for a Mobile Robot That Integrates Self-Localization and Unsupervised Word Discovery From Spoken Sentences.
IEEE Trans. Cogn. Dev. Syst., 2016
Proceedings of the Intelligent Autonomous Systems 14, 2016
2015
Statistical localization exploiting convolutional neural network for an autonomous vehicle.
Proceedings of the IECON 2015, 2015