Tadahiro Taniguchi
Cited by
Cited by
Driving context generation system for generating driving behavior description information
T Bando, K Takenaka, T Taniguchi
US Patent 9,527,384, 2016
Symbol emergence in robotics: a survey
T Taniguchi, T Nagai, T Nakamura, N Iwahashi, T Ogata, H Asoh
Advanced Robotics 30 (11-12), 706-728, 2016
Visualization of driving behavior based on hidden feature extraction by using deep learning
HL Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 18 (9), 2477-2489, 2017
Symbol emergence in cognitive developmental systems: a survey
T Taniguchi, E Ugur, M Hoffmann, L Jamone, T Nagai, B Rosman, ...
IEEE transactions on Cognitive and Developmental Systems 11 (4), 494-516, 2018
Variational inference mpc for bayesian model-based reinforcement learning
M Okada, T Taniguchi
Conference on robot learning, 258-272, 2020
World model learning and inference
K Friston, RJ Moran, Y Nagai, T Taniguchi, H Gomi, J Tenenbaum
Neural Networks 144, 573-590, 2021
Dreaming: Model-based reinforcement learning by latent imagination without reconstruction
M Okada, T Taniguchi
2021 ieee international conference on robotics and automation (icra), 4209-4215, 2021
Semiotic prediction of driving behavior using unsupervised double articulation analyzer
T Taniguchi, S Nagasaka, K Hitomi, NP Chandrasiri, T Bando
2012 IEEE Intelligent Vehicles Symposium, 849-854, 2012
Survey on frontiers of language and robotics
T Taniguchi, D Mochihashi, T Nagai, S Uchida, N Inoue, I Kobayashi, ...
Advanced Robotics 33 (15-16), 700-730, 2019
Online spatial concept and lexical acquisition with simultaneous localization and mapping
A Taniguchi, Y Hagiwara, T Taniguchi, T Inamura
2017 ieee/rsj international conference on intelligent robots and systems …, 2017
Double articulation analyzer for unsegmented human motion using pitman-yor language model and infinite hidden markov model
T Taniguchi, S Nagasaka
2011 IEEE/SICE International Symposium on System Integration (SII), 250-255, 2011
Nonparametric bayesian double articulation analyzer for direct language acquisition from continuous speech signals
T Taniguchi, S Nagasaka, R Nakashima
IEEE Transactions on Cognitive and Developmental Systems 8 (3), 171-185, 2016
Sequence prediction of driving behavior using double articulation analyzer
T Taniguchi, S Nagasaka, K Hitomi, NP Chandrasiri, T Bando, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (9), 1300-1313, 2015
Unsupervised drive topic finding from driving behavioral data
T Bando, K Takenaka, S Nagasaka, T Taniguchi
2013 IEEE Intelligent Vehicles Symposium (IV), 177-182, 2013
文芸春秋 95, 2013
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
Online learning of concepts and words using multimodal LDA and hierarchical Pitman-Yor Language Model
T Araki, T Nakamura, T Nagai, S Nagasaka, T Taniguchi, N Iwahashi
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
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
Serket: An architecture for connecting stochastic models to realize a large-scale cognitive model
T Nakamura, T Nagai, T Taniguchi
Frontiers in neurorobotics 12, 25, 2018
Unsupervised hierarchical modeling of driving behavior and prediction of contextual changing points
T Taniguchi, S Nagasaka, K Hitomi, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 16 (4), 1746-1760, 2014
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