Research
研究
研究業績
カテゴリー
研究領域
年
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World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator
Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo.
Advanced Robotics. Vol. 36, No. 17-18, pp 850-869, (2022).
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Explaining Intelligent Agent’s Future Motionon Basis of Vocabulary Learning WithHuman Goal Inference
Fukuchi, Y., Osawa, M., Yamakawa, H., & Imai, M.
IEEE Access, 10, 54336–54347. (2022)
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産業間の取引構造を用いた深層学習モデルによる生産指数の予測
山本裕樹，落合桂一，鈴木雅大，松尾豊
情報処理学会論文誌, (2022).
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Fixing the train-test objective discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matuo.
J-Stage in August Vol.30, (2022).
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Hippocampal formation-inspired probabilistic generative model
Taniguchi, A., Fukawa, A., & Yamakawa,H
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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A whole brain probabilistic generative model: Toward realizingcognitive architectures for developmental robots
Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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Conveying Intention by Motions With Awareness of Information Asymmetry
Fukuchi, Y., Osawa, M., Yamakawa, H., Takahashi, T., & Imai, M
Frontiers in Robotics and AI, 9. (2022)
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Universal Approximation with Neural Networks on Function Spaces
Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano
Journal of Experimental & Theoretical Artificial Intelligence.(2022)
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A survey of multimodal deep generative models
Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics.(2022)
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Transformerと自己教師あり学習を用いたシーン解釈手法の提案
小林 由弥 鈴木 雅大 松尾 豊
第37巻2号 J-STAGE, (2022)