Rchr
J-GLOBAL ID:200901085184954013   Update date: Sep. 20, 2024

Kobayashi Kunikazu

コバヤシ クニカズ | Kobayashi Kunikazu
Affiliation and department:
Job title: Professor
Other affiliations (1):
  • Aichi Prefectural University  Robotics Institute for the Next Generation (RING)   Institute Member
Homepage URL  (1): http://www.ist.aichi-pu.ac.jp/~koba/
Research field  (8): Intelligent informatics ,  Soft computing ,  Intelligent robotics ,  Human interfaces and interactions ,  Robotics and intelligent systems ,  Sensitivity (kansei) informatics ,  Perceptual information processing ,  Entertainment and game informatics
Research keywords  (16): Machine Learning ,  Artificial Intelligence ,  Human-Robot Interaction ,  Multi-Agent System ,  Multi-robot ,  Deep Learning ,  Deep Neural Network ,  Neural Network ,  Wavelet ,  Intelligent Robot ,  Associative Memory ,  Cloud Network Robot ,  Nonlinear Dynamics ,  Intelligent Control ,  Probabilistic Information Processing ,  Evolutionary Computation
Research theme for competitive and other funds  (20):
  • 2019 - 2024 Emergence of Robot's Personality by Introducing Dividual Model
  • 2018 - 2019 Emergence of Robot's Personality by Introducing Dividual Model
  • 2017 - 2018 Realization of Next-Generation Human-Robot Interaction Using Dividual Model and Its Application
  • 2014 - 2017 An Intellectual Developed Intelligent System with Multi-modal Interfaces and Its Application
  • 2015 - 2016 Development of a Dividual Model Based Human-Robot Interaction System and Its Application to the Next-Generation Service Robots
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Papers (182):
  • Kunikazu Kobayashi, Kishi Fumiya. A Minecraft Agent Based on Hierarchical Deep Reinforcement Learning Model. Proceedings of The SICE Festival 2024 with Annual Conference (SICE FES 2024). 2024. 570-575
  • Takashi Kuremoto, Masafumi Furuya, Shingo Mabu, Kunikazu Kobayashi. A Time Series Forecasting Method Using DBN and Adam Optimization. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. 2023. 477 LNICST. 95-106
  • Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu. Search Heuristics for the Optimization of DBN for Time Series Forecasting. Deep Neural Evolution. 2020. 131-152
  • Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi. An improved fuzzy neural network for reinforcement learning. ACM International Conference Proceeding Series. 2019. 88-93
  • Takuo Suzuki, Kana Futatsuishi, Kunikazu Kobayashi. Food volume estimation using 3d shape approximation for medication management support. Proceedings of 2018 3rd Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2018. 2018. 107-111
more...
MISC (10):
  • K. Takahashi, K. Ohkusu, N. Mori, Y. Uemura, K. Hayashi, M. Chiba, T. Nagami, Y. Yamada, A. Yamaguchi, N. Kato, et al. Camellia Dragons Team Description. Proceedings on the 23th Annual RoboCup International Symposium. 2019
  • Y. Aizawa, K. Hidaka, N. Mori, K. Ohkusu, K. Takahashi, Y. Uemura, M. Chiba, K. Hayashi, K. Ito, T. Nagami, et al. Camellia Dragons Team Description. Proceedings on the 22th Annual RoboCup International Symposium. 2018
  • 小林 邦和. 中部社研フォーラム ロボットと人工知能の最新技術およびロボカップ2017名古屋世界大会プロジェクト. 中部圏研究 = Chubu research quarterly : 調査季報. 2017. 201. 2-13
  • K. Hidaka, T. Tsubakimoto, T. Tanaka, K. Kumagai, H. Matsubara, Y. Aizawa, Y. Iwai, M. Nakagawa, K. Futatsuishi, N. Mori, et al. Camellia Dragons Extended Team Description. Proceedings on the 21th Annual RoboCup International Symposium. 2017
  • T. Tanaka, T. Tsubakimoto, M. Kawamura, K. Kumagai, H. Matsubara, K. Hidaka, Y. Aizawa, M. Nakagawa, Y. Iwai, T. Suzuki, et al. Camellia Dragons Extended Team Description. Proceedings on the 20th Annual RoboCup International Symposium. 2016
more...
Books (19):
  • Deep Neural Evolution - Deep Learning with Evolutionary Computation
    Springer 2020
  • Time Series Analysis - Data, Methods, and Applications
    InTech Publishing 2019
  • Human-Robot Interaction - Theory and Application
    InTech Publishing 2018
  • Computational Intelligence
    Springer International Publishing AG 2016
  • Application of Machine Learning to Service-Oriented Systems
    IEEJ 2016
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Lectures and oral presentations  (157):
  • PILCOにおけるカーネル関数の変更による予測精度の向上-Improving Prediction Accuracy by Modifying Kernel Functions in PILCO-システム/制御合同研究会 機械学習・確率的最適化
    (電気学会研究会資料. CT / 制御研究会 [編] 2023)
  • 不完全情報ゲームCodenamesにおけるプレイヤー間の親密度とゲームへの習熟度がゲームパフォーマンスに与える影響の分析
    (言語処理学会年次大会発表論文集(Web) 2023)
  • コードネームピクチャーズにおけるヒント決定アルゴリズムの提案と実装
    (言語処理学会年次大会発表論文集(Web) 2023)
  • Proposal of the Live-Commentary Robot System in RoboCup Soccer
    (人工知能学会第二種研究会資料(Web) 2023)
  • Evaluation focused on the relevance of hints for implementing Dixit game AI
    (人工知能学会全国大会論文集(Web) 2023)
more...
Works (2):
  • 脳の高次機能の解明に向けたニューラルネットワークのモデル化
    2010 -
  • Modeling of neural networks for the breakthrough toward investigating higher-order functions of the brain
    2010 -
Education (3):
  • 1993 - 1994 Yamaguchi University Graduate School of Engineering, Doctoral Program Division of Systems Engineering
  • 1991 - 1993 Yamaguchi University Graduate School of Engineering, Doctoral Program Division of Information Science and Systems Engineering
  • 1987 - 1991 Yamaguchi University Faculty of Engineering Department of Electrical Engineering
Professional career (3):
  • Ph.D (Yamaguchi University)
  • Master of Engineering (Yamaguchi University)
  • Bachelor of Engineering (Yamaguchi University)
Work history (8):
  • 2024/04 - 現在 Aichi Prefectural University Robotics Institute for the Next Generation (RING) Institute Member
  • 2017/04 - 現在 Aichi Prefectural University School of Information Science and Technology Professor
  • 2016/04 - 2024/03 Robotics Institute for the Next Generation (RING) Vice President
  • 2012/04 - 2017/03 Aichi Prefectural University School of Information Science and Technology Associate Professor
  • 2007/04 - 2012/03 Yamaguchi University Graduate School of Science and Engineering Computer Science and Design Engineering, Graduate School of Science and Engineering(Engineering Assistant Professor
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Committee career (28):
  • 2024/04 - 現在 IEEJ Research Committee on Investigation of Machine Learning Techniques Oriented to Improve the Practicality of AI Technologies, Member
  • 2019/06 - 現在 The RoboCup Japanese Regional Committee Trustee
  • 2019/04 - 現在 International Conference on Artificial Life and Robotics (ICAROB) International Organizing Committee, Member
  • 2019/02 - 現在 Aichi Prefecture Safety Assessment Committee of Service Robots, Member
  • 2015/01 - 現在 The RoboCup Japanese Regional Committee RoboCup Japan Open SPL Executive Committee, Member
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Awards (21):
  • 2022/06 - RoboCup Japan Committee RoboCup Research Award A Digital Speech Watermarking Method Using Spread Spectrum for Secret Communication in RoboCup Soccer
  • 2019/11 - ICBDR2019 (The 3rd International Conference on Big Data Research) Best Presentation Award An Improved Fuzzy Neural Network for Reinforcement Learning
  • 2019/08 - RoboCup Japan Committee RoboCup Japan Open 2019 Soccer SPL Main Competition 1st place
  • 2018/06 - RoboCup Federation 3rd Place at Challenge Shield of RoboCup 2017 Soccer Standard Platform League (SPL)
  • 2018/05 - The Japanese Society for Artificial Intelligence JSAI Research Award A Robust Soccer Ball Recognition against Lighting Fluctuation by Using Cascade Classifier
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Association Membership(s) (8):
The Association for Natural Language Processing ,  The Association for the Advancement of Artificial Intelligence (AAAI) ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  RoboCup Japan Committee ,  THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS ,  THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN ,  Institute of Electrical and Electronics Engineers (IEEE) ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
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