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International Journal Paper

  1. HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka and Takashi Bando, Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder, Sensors, 18(2), 608, 2018. doi:10.3390/s18020608 BibTeX [LINK1]
  2. Yoshinobu Hagiwara, Masakazu Inoue, Hiroyoshi Kobayashi, Tadahiro Taniguchi, Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots, Frontiers in Neurorobotics, 12(11), 1-16, 2018. DOI:10.3389/fnbot.2018.00011 BibTeX [LINK1]

Domestic Journal Paper

  1. No data available.

International Conference

  1. Amir Aly, Tadahiro Taniguchi, Towards Understanding Object-Directed Actions: A Generative Model for Grounding Syntactic Categories of Speech through Visual Perception, International Conference on Robotics and Automation (ICRA), 2018, Brisbane, Australia, accepted BibTeX
  2. Masashi Okada, Tadahiro Taniguchi, Acceleration of Gradient-based Path Integral Method for Efficient Optimal and Inverse Optimal Control, International Conference on Robotics and Automation (ICRA), 2018, Brisbane, Australia, accepted BibTeX

Domestic Conference

  1. 石毛真修, 梅舘拓也, 谷口忠大, 川原圭博, 強化学習を用いた一次元ひも状ソフトロボットの力覚フィードバック機構の耐故障性の検証, 電子情報通信学会, 2018 BibTeX

Book

  1. No data available.

Invited talks

  1. , Computational and Robotic Models of Language Acquisition (Introduction to Symbol Emergence in Robotics), ICDL16 Sabbatical40分トーク BibTeX
  2. , Language & Roboitcsのつくる2020年代の研究領域, 2018, 予定 第四回 Language & Robotics 研究会 ,立命館大学 朱雀キャンパス BibTeX

Patent

  1. No data available.

Prize

  1. , スマートグリッドにおける強化学習に基づく適応的自動電力取引手法 BibTeX
  2. , 「Social Encountering Service『街角ですれ違う友達の友達は友達』-SNSに基づくユビキタスリアルコミュニケーション-」 BibTeX

Media

  1. No data available.

Academic Activities

  1. 谷口 忠大, 人工知能は人間の知能を超えるか?, 日本心理学会, 2018 January, 80 BibTeX

Other

  1. , Special Issue on “Symbol Emergence and Developmental Systems: Social Symbol Grounding and Embodied Cognition in Humans and Robots” – IEEE Transactions on Cognitive and Developmental Systems (TCDS), Special issues BibTeX
  2. , Research Topic on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, Frontiers in Neurorobotics, Special issues BibTeX
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