Related Papers


Introduction


  1. Kazuki Miyazawa, Takato Horii, Tatsuya Aoki, Takayuki Nagai, "Integrated Cognitive Architecture for Robot Learning of Action and Language," Frontiers in Robotics and AI, 6:131, 2019, doi:10.3389/frobt.2019.00131

  2. Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano, "HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model," Frontiers in Robotics and AI, 6:115, 2019, doi:10.3389/frobt.2019.00115

  3. Tomoaki Nakamura, Takayuki Nagai, "Ensemble-of-Concept Models for Unsupervised Formation of Multiple Categories,"IEEE Transactions on Cognitive and Developmental Systems, vol.10, 4, pp.1043-1057, 2018, doi: 10.1109/TCDS.2017.2745502

  4. Joe Nishihara, Tomoaki Nakamura, Takayuki Nagai, "Online Algorithm for Robots to Learn Object Concepts and Language Model," IEEE Transactions on Cognitive and Developmental Systems, vol.9, 3, pp.255-268, 2017, doi: 10.1109/TCDS.2016.2552579

  5. Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh and Masahide Kaneko, "Segmenting Continuous Motions with Hidden Semi-Markov Models and Gaussian Processes," Frontiers in Neurorobotics, 11:67, 2017, doi: 10.3389/fnbot.2017.00067

  6. Muhammad Attamimi, Yoshiki Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh, "Learning Word Meanings and Grammar for Verbalization of Daily Life Activities Using Multilayered Multimodal Latent Dirichlet Allocation and Bayesian Hidden Markov Models," Advanced Robotics, vol.30, Issue:11-12, pp.806-824, 2016, doi: 10.1080/01691864.2016.1172507

  7. Takaya Araki, Tomoaki Nakamura, Takayuki Nagai, Kotaro Funakoshi, Mikio Nakano, Naoto Iwahashi, "Online Object Categorization Using Multimodal Information Autonomously Acquired by a Mobile Robot," Advanced Robotics, 26(17), pp.1995-2020, 2012, doi: 10.1080/01691864.2012.728693

  8. Takaya Araki, Tomoaki Nakamura, Takayuki Nagai, Kotaro Funakoshi, Mikio Nakano, Naoto Iwahashi, "Online Object Categorization Using Multimodal Information Autonomously Acquired by a Mobile Robot," Advanced Robotics, 26(17), pp.1995-2020, 2012, doi:10.1080/01691864.2012.728693

  9. Tomoaki Nakamura, Takaya Araki, Takayuki Nagai, Naoto Iwahashi, "Grounding of Word Meanings in LDA-Based Multimodal Concepts," Advanced Robotics, 25, pp.2189-2206, 2011, doi: 10.1163/016918611X595035


Prof. Taniguchi's talk

  1. Tadahiro Tangiuchi, Daichi Mochihashi, Takayuki Nagai, Satoru Uchida, Naoya Inoue, Ichiro Kobayashi, Tomoaki Nakamura, Yoshinobu Hagiwara, Naoto Iwahashi and Tetsunari Inamura, "Survey on frontiers of language and robotics," Advanced Robotics, 2019, doi: 10.1080/01691864.2019.1632223

  2. Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto iwahashi, Erhan Oztop, Justus Piater, Florentin Worgotter, "Symbol Emergence in Cognitive Developmental Systems: a Survey," IEEE Transactions on Cognitive Developmental Systems, vol.11, no.4, pp. 494-516, 2019, doi: 10.1109/TCDS.2018.2867772

  3. Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura, Naoto Iwahashi, Tetsuya Ogata, Hideki Asoh, "Symbol Emergence in Robotics: A Survey," Advanced Robotics, Vol. 30, Issue 11-12, pp. 706-728, 2016, doi: 10.1080/01691864.2016.1164622



Dr. Okada's talk

  1. Masashi Okada, Tadahiro Taniguchi, Variational inference mpc for bayesian model-based reinforcement learning , Conference on Robot Learning, 258-272, 2019

  2. Masashi Okada, Norio Kosaka, Tadahiro Taniguchi, PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference, arXiv preprint arXiv:2003.00370



Prof. Suzuki's talk

  1. Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Improving Bi-directional Generation between Different Modalities with Variational Autoencoders, arXiv, 2018

  2. Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Joint Multimodal Learning with Deep Generative Models, arXiv, 2016

  3. Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Joint Multimodal Learning with Deep Generative Models, Workshop, International Conference on Learning Representation (ICLR 2017), April 2017



Prof. Nakamura's talk

  1. Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii, Takayuki Nagai, "Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models," New Generation Computing, 2020, doi: 10.1007/s00354-019-00084-w

  2. Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi, "SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model," Frontiers in Neurorobotics, 12:25, 2018, doi: 10.3389/fnbot.2018.00025