| Image capturing device, method of searching for occlusion region, and program M Nakano, T Nagai, A Mizutani, T Nakamura, K Funakoshi US Patent 8,446,492, 2013 | 221 | 2013 |
| 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 | 178 | 2016 |
| Grounding of word meanings in multimodal concepts using LDA T Nakamura, T Nagai, N Iwahashi 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 108 | 2009 |
| Multimodal object categorization by a robot T Nakamura, T Nagai, N Iwahashi 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 102 | 2007 |
| 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 | 75 | 2019 |
| Segmenting continuous motions with hidden semi-markov models and gaussian processes T Nakamura, T Nagai, D Mochihashi, I Kobayashi, H Asoh, M Kaneko Frontiers in neurorobotics 11, 67, 2017 | 71 | 2017 |
| Autonomous acquisition of multimodal information for online object concept formation by robots T Araki, T Nakamura, T Nagai, K Funakoshi, M Nakano, N Iwahashi 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 65 | 2011 |
| Grounding of word meanings in latent dirichlet allocation-based multimodal concepts T Nakamura, T Araki, T Nagai, N Iwahashi Advanced Robotics 25 (17), 2189-2206, 2011 | 63 | 2011 |
| 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 |
| World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges T Taniguchi, S Murata, M Suzuki, D Ognibene, P Lanillos, E Ugur, ... Advanced Robotics 37 (13), 780-806, 2023 | 58 | 2023 |
| 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 | 55 | 2018 |
| 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 | 53 | 2012 |
| Mutual learning of an object concept and language model based on MLDA and NPYLM T Nakamura, T Nagai, K Funakoshi, S Nagasaka, T Taniguchi, N Iwahashi 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 51 | 2014 |
| Multimodal categorization by hierarchical dirichlet process T Nakamura, T Nagai, N Iwahashi 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 48 | 2011 |
| Bag of multimodal LDA models for concept formation T Nakamura, T Nagai, N Iwahashi 2011 IEEE international conference on robotics and automation, 6233-6238, 2011 | 38 | 2011 |
| Small talk improves user impressions of interview dialogue systems T Kobori, M Nakano, T Nakamura Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 36 | 2016 |
| Real-time 3D visual sensor for robust object recognition M Attamimi, A Mizutani, T Nakamura, T Nagai, K Funakoshi, M Nakano 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 36 | 2010 |
| Online object categorization using multimodal information autonomously acquired by a mobile robot T Araki, T Nakamura, T Nagai, K Funakoshi, M Nakano, N Iwahashi Advanced Robotics 26 (17), 1995-2020, 2012 | 35 | 2012 |
| 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 |
| Formation of hierarchical object concept using hierarchical latent dirichlet allocation Y Ando, T Nakamura, T Araki, T Nagai 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 30 | 2013 |
