業績・著書

研究業績 (2019年)

学術論文(国際)

(1) Noguchi Wataru, Iizuka Hiroyuki, Yamamoto Masahito, Navigation behavior based on self-organized spatial representation in hierarchical recurrent neural network, Advanced Robotics, p. (2019)

 

(2) Takada Kei, Iizuka Hiroyuki, Yamamoto Masahito, Reinforcement Learning to Create Value and Policy Functions using Minimax Tree Search in Hex, IEEE Transactions on Games, p. (2019)

 

(3) Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto, Complexity of bird song caused by adversarial imitation learning, Artificial Life and Robotics, Vol. online, pp. 1-9 (2019)

 

学術論文(国内)

解説等

国際会議

(1) Naohiro Shibuya, Hiroyuki Iizuka, Masahito Yamamoto, Group Decision Making through Behavioral Interaction in Robot Swarm, Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, pp. 764-769 (2019)

 

(2) Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto, Modeling place and head-direction cells self-organized in different environments using recurrent neural networks, Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), pp. 67-72 (2019)

 

(3) Kei Takada, Hiroyuki Iizuka, Subhransu Maji, Masahito Yamamoto, Mutual learning between human and machine to develop a human-machine interface to operate multi-DOF robots, Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), pp. 397-403 (2019)

 

(4) Yosuke Nakamoto, Hiroyuki Iizuka, Masahito Yamamoto, Establishing Mutual Interaction between Artificial and Real Medaka, Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), pp. 633-637 (2019)

 

(5) Yamazaki Seiya, Iizuka Hiroyuki, Yamamoto Masahito, Adversarial Imitation Learning of Bird Song Modeled with Recurrent Neural Network, Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), pp. 162-167 (2019)

 

(6) Masahito Yamamoto, Autonomy for Robot Development, JAIST World Conference 2019, p. (2019)

 

(7) Hiroyuki Iizuka, Yosuke Nakamoto, Masahito Yamamoto, Hybrid Synthetic Approach to Animal Interaction, Proceedings of the Artificial Life Conference 2019, pp. 50-51 (2019)

 

(8) Wataru Noguchi, Hiroyuki Iizuka, Shigeru Taguchi, Masahito Yamamoto, Spatial Representation of Self and Other by Superposition Neural Network Model, Proceedings of the Artificial Life Conference 2019, pp. 531-532 (2019)

 

国内学会

(1) 安宅 耕太郎, 飯塚 博幸, 山本 雅人, 不確定ゲームにおける深層強化学習による評価関数の獲得, 第18回複雑系マイクロシンポジウム講演論文集, pp. 62-65 (2019)

 

(2) 寺尾 颯人, 飯塚 博幸, 山本 雅人, LSTM Autoencoderを用いた半教師あり学習による行動分類のための特徴ベクトル抽出手法, 第18回複雑系マイクロシンポジウム講演論文集, pp. 25-30 (2019)

 

(3) 堀内 宏信, 飯塚 博幸, 山本 雅人, LSTM Autoencoderを用いた半教師あり学習による行動分類のための特徴ベクトル抽出手法, 第18回複雑系マイクロシンポジウム講演論文集, pp. 76-80 (2019)

 

(4) 賀川 祐太朗, 飯塚 博幸, 山本 雅人, UAVの空撮画像を利用した産業廃棄物最終処分場の容量推定, 第51回計測自動制御学会北海道支部学術講演会論文集, pp. 27-30 (2019)

 

(5) 貝塚 裕, 飯塚 博幸, 山本 雅人, 3次元畳み込みニューラルネットワークを用いた店舗における顧客行動の分類, ロボティクス・メカトロニクス講演会2019 (ROBOMECH2019) 講演論文集, p. (2019)

 

(6) 荒木関 渉, 野口 渉, 飯塚 博幸, 山本 雅人, 分割した集団の学習による役割分担の獲得, 情報処理北海道シンポジウム2019講演論文集, p. (2019)