Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping A Taniguchi, Y Hagiwara, T Taniguchi, T Inamura IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 63 | 2017 |
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models T Taniguchi, T Nakamura, M Suzuki, R Kuniyasu, K Hayashi, A Taniguchi, ... New Generation Computing 38, 23–48, 2020 | 59 | 2020 |
Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences A Taniguchi, T Taniguchi, T Inamura IEEE Transactions on Cognitive and Developmental Systems 8 (4), 285-297, 2016 | 53 | 2016 |
System for augmented human–robot interaction through mixed reality and robot training by non-experts in customer service environments L El Hafi, S Isobe, Y Tabuchi, Y Katsumata, H Nakamura, T Fukui, ... Advanced Robotics 34 (3-4), 157-172, 2020 | 46 | 2020 |
Cross-situational learning with Bayesian generative models for multimodal category and word learning in robots A Taniguchi, T Taniguchi, A Cangelosi Frontiers in neurorobotics 11, 66, 2017 | 41 | 2017 |
Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping A Taniguchi, Y Hagiwara, T Taniguchi, T Inamura Autonomous Robots 44, 927–946, 2020 | 38 | 2020 |
Autonomous planning based on spatial concepts to tidy up home environments with service robots A Taniguchi, S Isobe, L El Hafi, Y Hagiwara, T Taniguchi Advanced Robotics 35 (8), 471–489, 2021 | 37 | 2021 |
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots T Taniguchi, H Yamakawa, T Nagai, K Doya, M Sakagami, M Suzuki, ... Neural Networks 150, 293-312, 2022 | 34 | 2022 |
Symbol Emergence as an Interpersonal Multimodal Categorization Y Hagiwara, H Kobayashi, A Taniguchi, T Taniguchi Front. Robot. AI 6 (134), 2019 | 33 | 2019 |
Emergent communication through Metropolis-Hastings naming game with deep generative models T Taniguchi, Y Yoshida, A Taniguchi, Y Hagiwara Advanced Robotics 37 (19), 1266-1282, 2023 | 32 | 2023 |
Statistical Localization Exploiting Convolutional Neural Network for an Autonomous Vehicle S Ishibushi, A Taniguchi, T Takano, Y Hagiwara, T Taniguchi 41st Annual Conference of the IEEE Industrial Electronics Society (IECON2015), 2015 | 29 | 2015 |
Hippocampal formation-inspired probabilistic generative model A Taniguchi, A Fukawa, H Yamakawa Neural Networks 151, 317-335, 2022 | 24 | 2022 |
Unsupervised spatial lexical acquisition by updating a language model with place clues A Taniguchi, T Taniguchi, T Inamura Robotics and Autonomous Systems 99, 166-180, 2018 | 24 | 2018 |
Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inference Y Hagiwara, K Furukawa, A Taniguchi, T Taniguchi Advanced Robotics 36 (5-6), 239-260, 2022 | 23 | 2022 |
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model A Taniguchi, Y Hagiwara, T Taniguchi, T Inamura Advanced Robotics 34 (19), 1213-1228, 2020 | 19 | 2020 |
Semantic mapping based on spatial concepts for grounding words related to places in daily environments Y Katsumata, A Taniguchi, Y Hagiwara, T Taniguchi Frontiers in Robotics and AI 6, 31, 2019 | 19 | 2019 |
SpCoMapGAN: Spatial Concept Formation-based Semantic Mapping with Generative Adversarial Networks Y Katsumata, A Taniguchi, L El Hafi, Y Hagiwara, T Taniguchi IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 18 | 2020 |
Semiotically adaptive cognition: toward the realization of remotely-operated service robots for the new normal symbiotic society T Taniguchi, L El Hafi, Y Hagiwara, A Taniguchi, N Shimada, T Nishiura Advanced Robotics 35 (11), 664-674, 2021 | 17 | 2021 |
A generative framework for multimodal learning of spatial concepts and object categories: An unsupervised part-of-speech tagging and 3D visual perception based approach A Aly, A Taniguchi, T Taniguchi 2017 Joint IEEE International Conference on Development and Learning and …, 2017 | 17 | 2017 |
Map completion from partial observation using the global structure of multiple environmental maps Y Katsumata, A Kanechika, A Taniguchi, LE Hafi, Y Hagiwara, ... Advanced Robotics, 2022 | 13 | 2022 |