Updated on 2025/06/09

写真a

 
TAHARA KENJI
 
Organization
Faculty of Engineering Department of Mechanical Engineering Professor
School of Engineering (Concurrent)
Graduate School of Engineering Department of Mechanical Engineering(Concurrent)
Title
Professor
Contact information
メールアドレス
Tel
0928023238
Profile
研究活動: 人間を中心としたロボティクス技術の研究開発  ・人からロボティクスへ:人間の身体が有する高度な運動知能をロボティクスで如何に実現するかを目的とした研究.人の運動戦略を基にした制御構造の研究,筋骨格系モデルによる運動制御,など  ・ロボティクスから人へ:人間の生活空間内で支援を行うロボット技術開発を目的とした研究.多指ロボットハンドによる動的物体操作,逆可動性の高いマニピュレータ,人工筋肉アクチュエータやそれを用いた運動支援装具,柔軟グリッパなど. 具体的な研究テーマ: 1)柔軟多指ロボットハンドによる動的物体操作 2)無段変速機構を有する逆可動性の高い関節モジュール 3)筋骨格モデルを用いた滑らかな運動の実現 4)柔軟捻転足を有する2足歩行ロボット 5)人工筋肉を用いたロボットハンドや手先装具開発 6)様々な情報を統合して利用可能な階層型力制御手法の開発 7)高速度カメラを利用した産業マニピュレータの運動計画 教育活動: 機械工学を基本としたロボティクス・メカトロニクスに関する研究指導を行なっている. 社会活動: 国内外のロボティクスに関する主要な学会に所属し,雑誌,講演会,国際会議などの運営を行なっている.
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Research Areas

  • Informatics / Intelligent robotics

  • Informatics / Mechanics and mechatronics

  • Informatics / Robotics and intelligent system

Degree

  • Ph. D (Eng.)

Research History

  • Kyushu University Department of Mechanical Engineering, Faculty of Engineering Professor 

    2020.4 - Present

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  • 2003-2007 独立行政法人理化学研究所 バイオ・ミメティックコントロール研究センター 環境適応ロボットシステム研究チーム 研究員   

    2003-2007 独立行政法人理化学研究所 バイオ・ミメティックコントロール研究センター 環境適応ロボットシステム研究チーム 研究員

Research Interests・Research Keywords

  • Research theme: Design and control theory of flexible and rigid integrated soft robotics for desired motion.

    Keyword: flexible and rigid integrated soft robotics

    Research period: 2024.4 - 2028.3

  • Research theme: Musculoskeletal System

    Keyword: Musculoskeletal System

    Research period: 2024

  • Research theme: Multifingered Robotic Hand

    Keyword: Multifingered Robotic Hand

    Research period: 2024

  • Research theme: artificial muscle actuator

    Keyword: artificial muscle actuator

    Research period: 2024

  • Research theme: Manipulation

    Keyword: Manipulation

    Research period: 2024

  • Research theme: Soft Robotics

    Keyword: Soft Robotics

    Research period: 2024

  • Research theme: Trajectory planning for a low-speed manipulator using a high-speed camera

    Keyword: high-speed camera, low-speed manipulator

    Research period: 2022.4

  • Research theme: Study on hinge and torque mechanisms

    Keyword: hinge, torque

    Research period: 2021.12 - 2023.12

  • Research theme: Super-musculoskeletal soft robotics by integrating musculoskeletal potential method and soft actuator

    Keyword: Musculoskeletal System, Soft Robotics

    Research period: 2021.4 - 2024.3

  • Research theme: Control Engineering for Soft Robotics by Combining Stochastic Model-Based Control and Sensor Feedback

    Keyword: Soft Robotics, Polymer, Control Engineering

    Research period: 2020.4 - 2024.3

  • Research theme: Liquid-cooled artificial muscle robotic hand with a silent drive

    Keyword: Soft Robotics, Polymer, Control Engineering

    Research period: 2020.4 - 2023.3

  • Research theme: Research on robotics technology that realizes force control maturation, systematization, and flexible collaboration with people.

    Keyword: Force Control, Softness

    Research period: 2019.2 - 2021.3

  • Research theme: Robust motor control strategy to delay and noise of sensory information in sensory-motor integration

    Keyword: Sensory-motor integration, delay, noise

    Research period: 2016.4 - 2021.3

  • Research theme: Soft human support device using polymer artificial muscle

    Keyword: polymer artificial muscle

    Research period: 2015.10 - 2017.3

  • Research theme: Compound mobility using soft and hemispheric foot with torsional motion

    Keyword: Compound mobility

    Research period: 2014.4

  • Research theme: Dexterous object manipulation by fusing a sensory feedback manner with proprioceptive information

    Keyword: Virtual frame

    Research period: 2013.4

  • Research theme: On control of musculoskeletal systems by combining a feedfoward and feedback control manners

    Keyword: musculoskeletal system

    Research period: 2012.3

  • Research theme: A high-backdrivable manipulator with variable stiffness mechanism

    Keyword: Variable stiffness

    Research period: 2009.4

  • Research theme: Development and analysis of an intelligent motor control strategy for whole body musculo-skeletal system model to generate a smooth and natural human-like movement.

    Keyword: Muscul-skeletal system

    Research period: 2007.4

  • Research theme: Dynamic object manipulation using a multi-fingered robotic hand

    Keyword: Dynamic Grasping and manipulation

    Research period: 2007.4

  • Research theme: Development of a human-like nursing care robotic system that can lift up a human being

    Keyword: nursing care robot

    Research period: 2003.4 - 2007.3

Awards

  • 優秀講演賞

    2023.12   計測自動制御学会SI部門   近接覚センサを用いた多重インピーダンス制御による把持時の各指同時接触と衝撃緩和の実現

  • 優秀講演賞

    2022.12   計測自動制御学会SI部門   腱駆動ソフトフィンガの集中定数系モデル化とパラメータ推定手法

  • ROBOMECH表彰(学術研究分野)

    2021.6   日本機械学会ロボティクス・メカトロニクス部門   回転型釣糸人工筋肉アクチュエータのセンサレストルク制御

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    A Twisted Polymeric Fiber Actuator (TPFA) has been attracting attention as a new actuator that is silent, inexpensive, and can directly extract a rotational motion. Until now, we have proposed a sensorless rotational angle controller using estimated temperature feedback in order to take advantage of the low cost of TPFA. In order to construct a sensorless torque control method as an expansion of the utility of the TPFA, the relationship between output torque and change in temperature is modeled and the sensorless torque controller is designed. The proposed method is eventually verified through experiments.

  • 部門欧文誌表彰

    2021.6   日本機械学会ロボティクス・メカトロニクス部門   Dexterous object manipulation by a multi-fingered robotic hand with visual-tactile fingertip sensors

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    In this paper, a novel visual-tactile sensor is proposed; additionally, an object manipulation method for a multi-fingered robotic hand grasping an object is proposed by detecting a contact position using the visual-tactile sensor. The visual-tactile sensor is composed of a hemispheric fingertip made of soft silicone with a hollow interior and a general USB camera located inside the fingertip to detect the displacement of the many point markers embedded in the silicone. The deformation of each point marker due to a contact force is measured, and a contact position is estimated reliably through a novel method of creating virtual points to determine the point clouds. The aim is to demonstrate both the estimation performance of the new visual-tactile sensor and its usefulness in a grasping and manipulation task. By using the contact position obtained from the proposed sensor and the position of each fingertip obtained from kinematics, the position and orientation of a grasped object are estimated and controlled. The effectiveness of the method is illustrated through numerical simulation and its practical use is demonstrated through grasping and manipulating experiments.

  • The Best Session Presentation

    2016.10   IEEE IES   The Best Session Presentation

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Papers

  • Integrated Grasping Controller Leveraging Optical Proximity Sensors for Simultaneous Contact, Impact Reduction, and Force Control Reviewed International journal

    Shunsuke Tokiwa, Hikaru Arita, Yosuke Suzuki, Kenji Tahara

    IEEE Robotics and Automation Letters   9 ( 12 )   11633 - 11640   2024.12   ISSN:2377-3766

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE Robotics and Automation Letters  

    Grasping an unknown object is difficult for robot hands. When the characteristics of the object are unknown, knowing how to plan the speed at and width to which the fingers are narrowed is difficult. In this letter, we propose a method to realize the three functions of simultaneous finger contact, impact reduction, and contact force control, which enable effective grasping of an unknown object. We accomplish this by using a control framework called multiple virtual dynamics-based control, which was proposed in a previous study. The advantage of this control is that multiple functions can be realized without switching control laws. The previous study achieved two functions, impact reduction and contact force control, with a two layers of impedance control which was applied independently to individual fingers. In this letter, a new idea of virtual dynamics that treats multiple fingers comprehensively is introduced, which enables the function of simultaneous contact without compromising the other two functions. This research provides a method to achieve delicate grasping by using proximity sensors.

    DOI: 10.1109/LRA.2024.3497726

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  • 確率的表現された粘弾性パラメータを用いた柔軟指の実時間状態推定 Reviewed

    #本司 澄空, @有田 輝, @田原 健二

    日本ロボット学会誌   2024.7

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • Tactile sensor-less fingertip contact detection and force estimation for stable grasping with an under-actuated hand Reviewed International coauthorship International journal

    #Ha Thang Long Doan, @Hikaru Arita, @Kenji Tahara

    ROBOMECH Journal   11 ( 1 )   2024.4   ISSN:2197-4225 eISSN:21974225

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    Language:Others   Publishing type:Research paper (scientific journal)   Publisher:ROBOMECH Journal  

    Detecting contact when fingers are approaching an object and estimating the magnitude of the force the fingers are exerting on the object after contact are important tasks for a multi-fingered robotic hand to stably grasp objects. However, for a linkage-based under-actuated robotic hand with a self-locking mechanism to realize stable grasping without using external sensors, such tasks are difficult to perform when only analyzing the robot model or only applying data-driven methods. Therefore, in this paper, a hybrid of previous approaches is used to find a solution for realizing stable grasping with an under-actuated hand. First, data from the internal sensors of a robotic hand are collected during its operation. Subsequently, using the robot model to analyze the collected data, the differences between the model and real data are explained. From the analysis, novel data-driven-based algorithms, which can overcome noted challenges to detect contact between a fingertip and the object and estimate the fingertip forces in real-time, are introduced. The proposed methods are finally used in a stable grasp controller to control a triple-fingered under-actuated robotic hand to perform stable grasping. The results of the experiments are analyzed to show that the proposed algorithms work well for this task and can be further developed to be used for other future dexterous manipulation tasks.

    DOI: 10.1186/s40648-024-00273-3

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  • External Sensor-less Fingertip Force/Position Estimation Framework for a Linkage-based Under-actuated Hand with Self-locking Mechanism Reviewed International journal

    #Ha Thang Long Doan, @Hikaru Arita, @Kenji Tahara

    IEEE/SICE SII 2024   219 - 224   2024.1   ISBN:9798350312072

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    Language:Others   Publishing type:Research paper (international conference proceedings)   Publisher:2024 IEEE/SICE International Symposium on System Integration, SII 2024  

    Precision grasping is an important skill for robotic hands to master so that they can be utilized in various manipulation tasks. To control the robotic hand precisely, modeling the kinematics and statics behavior of the robotic hand is one of the active areas of robotic research. While becoming popular because of their self-adaptability in robust power grasping, linkage-based under-actuated hands are difficult to model analytically for precision fingertip grasping, due to the stochastic and nonlinear dynamical behavior caused by the use of passive mechanisms inside each finger. In this paper, we proposed a fingertip force/position estimation framework, which detects in real-time using internal sensors data whether the passive locking mechanism is in action or not and uses the kinematics and statics models with gravity compensation in each case to compute the estimation. Using the proposed framework, an example of a precision grasping task is carried out to evaluate its reliability and show its potential to be used for future dexterous manipulation tasks.

    DOI: 10.1109/SII58957.2024.10417552

    Scopus

  • Stochastic approach for modeling soft fingers with creep behavior Reviewed International journal

    #Sumitaka Honji, @Hikaru Arita, @Kenji Tahara

    Advanced Robotics   37 ( 22 )   1471 - 1484   2023.11   ISSN:01691864

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    Language:Others   Publishing type:Research paper (scientific journal)   Publisher:Advanced Robotics  

    Soft robots have high adaptability and safety due to their softness and are therefore widely used in human society. However, the controllability of soft robots to perform dexterous behaviors is insufficient when considering soft robots as alternative laborers for humans. Model-based control methods are effective for achieving dexterous behaviors. To build a suitable control model, problems based on specific properties, such as creep behavior and variable motions, must be addressed. In this paper, a lumped parameterized model for soft fingers with viscoelastic joints is established to address creep behavior. The parameters are expressed as distributions, which allows the model to account for motion variability. Furthermore, stochastic analyzes are performed based on the parameter distributions. The model results are consistent with the experimental results, and the model enables the investigation of the effects of various parameters related to robot variability.

    DOI: 10.1080/01691864.2023.2279600

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Books

  • Chapter 9: A Grasping and Manipulation Scheme That is Robust gainst Time Delays of Sensing Information: An Application of a Controller Based on Finger-Thumb Opposability Human-Inspired Dexterity in Robotic Manipulation, 1st Ed.

    Kenji Tahara, Akihiro Kawamura(Role:Joint author)

    Academic Press  2018.7 

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    Language:English   Book type:Scholarly book

  • ロボットと解析力学

    有本, 卓, 田原, 健二(Role:Joint author)

    コロナ社  2018.1 

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    Responsible for pages:総ページ数:viii, 193p   Language:Japanese   Book type:Scholarly book

  • ロボット制御工学ハンドブック(松野文俊,大須賀公一,松原仁,野田五十樹,稲見昌彦 編著) 2.4.2節 ロボットハンドの力学モデル

    田原 健二(Role:Sole author)

    近代科学社  2017.12 

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    Language:Japanese   Book type:Scholarly book

  • "On dynamic control mechanisms of redundant human musculo-skeletal system,"

    K. Tahara and Z.W. Luo(Role:Joint author)

    Springer-Verlag  2011.10 

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    Language:English   Book type:Scholarly book

  • あのスーパーロボットはどう動く–スパロボで学ぶロボット工学–

    金岡克弥(編著), 菊植 亮, 木野 仁, 杉原知道, 田原健二, 橋口宏衛, 吉田晴行(Role:Joint author)

    日刊工業新聞社  2010.3 

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    Language:Japanese   Book type:General book, introductory book for general audience

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Presentations

  • 複数のToFセンサによる環境認識手法を利用した多関節移動ロボットの全身姿勢推定

    #岩尾 健吾,@有田 輝,@田原 健二

    SI2023  2023.12 

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    Event date: 2023.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:新潟市   Country:Japan  

  • 近接覚センサを用いた多重インピーダンス制御による把持時の各指同時接触と衝撃緩和の実現

    #常盤 俊介,@有田 輝,@田原 健二

    SI2023  2023.12 

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    Event date: 2023.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:新潟市   Country:Japan  

  • External Sensor-Less in-Hand Object Position Manipulation for an Under-Actuated Hand Using Data-Driven-Based Methods to Compensate for the Nonlinearity of Self-Locking Mechanism International conference

    #Ha Thang Long Doan, @Hikaru Arita, @Kenji Tahara

    IEEE/RSJ IROS2023  2023.10 

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    Event date: 2023.10

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Detroit, MI   Country:United States  

  • 確率的表現された粘弾性パラメータを用いた柔軟指の状態推定

    #本司 澄空,@有田 輝,@田原 健二

    RSJ2023  2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:仙台市   Country:Japan  

  • 近接覚センサを用いた衝撃緩和制御に対するセンサ出力の指数関数モデルによるパラメータ設計手法

    #中村 隼,@有田 輝,@鈴木 陽介,@田原 健二

    RSJ2023  2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:仙台市   Country:Japan  

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MISC

  • 回転型ナイロン糸人工筋肉アクチュエータの温度推定によるセンサレス角度制御手法について Reviewed

    @田原健二

    月刊機能材料   2021.9

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

  • 「ソフトロボティクス」特集について

    新山 龍馬, 田原 健二

    2019.1

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    DOI: 10.7210/jrsj.37.2

  • 時間遅れやノイズにロバストな運動制御戦略:—開かれた環境での運動知能—

    田原 健二

    日本ロボット学会誌   2018.12

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    A Robust Motor Control Strategy against Time-delays and Noises:—Motor Intelligence on Open Environments—

    DOI: 10.7210/jrsj.36.616

  • 多指ロボットハンドの制御法

    小澤 隆太, 田原 健二

    日本ロボット学会誌   2018.7

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    DOI: 10.7210/jrsj.36.306

  • 「マニピュレーション・レビュー」特集について

    原田 研介, @田原 健二

    日本ロボット学会誌   2018.6

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    On special issue "Introduction to The Review of Advanced Manipulation"

    DOI: 10.7210/jrsj.36.305

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Industrial property rights

Patent   Number of applications: 5   Number of registrations: 0
Utility model   Number of applications: 0   Number of registrations: 0
Design   Number of applications: 0   Number of registrations: 0
Trademark   Number of applications: 0   Number of registrations: 0

Professional Memberships

  • The Society of Instrument and Control Engineers

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  • The Japan Society of Mechanical Engineers

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  • The Robotics Society of Japan

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  • IEEE Robotics and Automation Society

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Committee Memberships

  • The Robotics Society of Japan   Board of Directors (International Affairs)  

    2021.4 - 2023.3   

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    Committee type:Academic society

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  • 一般社団法人 日本ロボット学会   Executive   Domestic

    2021.4 - 2023.3   

  • 一般社団法人 日本ロボット学会   国際担当   Domestic

    2021.4 - 2023.3   

  • 一般社団法人 日本ロボット学会   Advanced Robotidcs Award選考委員会   Domestic

    2020.4 - 2022.3   

  • 一般社団法人 日本ロボット学会   ヒューマンセントリックロボティクス研究専門委員会委員長   Domestic

    2018.4 - 2020.3   

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Academic Activities

  • 実行委員長

    ROBOMECH2026  ( Japan ) 2026.6

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    Type:Competition, symposium, etc. 

    Number of participants:1,500

  • Exhibition Co-Chair International contribution

    IEEE/RSJ IROS2025  ( Hangzhou China ) 2025.10

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    Type:Competition, symposium, etc. 

    Number of participants:3,000

  • プログラム委員長

    第29回ロボティクスシンポジア  ( Japan ) 2024.3

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    Type:Competition, symposium, etc. 

    Number of participants:300

  • Award Co-Chair International contribution

    IEEE/RSJ RO-MAN2023  ( Paradise Hotel, Busan Korea ) 2023.8

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    Type:Competition, symposium, etc. 

    Number of participants:300

  • プログラム副委員長

    第28回ロボティクスシンポジア  ( Japan ) 2023.3

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    Type:Competition, symposium, etc. 

    Number of participants:300

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Other

  • IEEE ICRA2021 Workshop において招待講演 タイトル:「Object Grasping and Manipulation under Inadequate Sensory Information」

    2021.6

Research Projects

  • 望みの運動を実現する柔剛一体ソフトロボティクスの設計・制御論

    2024.4 - 2028.3

    九州大学 

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    Authorship:Principal investigator 

  • ソフトメカニクスによる機械工学の新展開~柔剛一体メカニクスの創成~

    2024 - 2029

    大学改革活性化制度(部局改革推進枠)

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    Authorship:Principal investigator  Grant type:On-campus funds, funds, etc.

  • Design and Control Theory of Soft Robotics with Integrated Soft-Rigid Structures for Achieving Desired Motions

    Grant number:24H00726  2024 - 2028

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

    田原 健二, 津守 不二夫, 山口 哲生, 木野 仁, 佐藤 訓志, 舛屋 賢, 有田 輝

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    Authorship:Principal investigator  Grant type:Scientific research funding

    まず,柔軟体と剛体を空間的に分布させた力学モデルの構築を行う.理論モデルを構築した後,シミュレーションを行いながら柔軟体と剛体を複合させた柔軟リンク構造体を試作し,実験との比較を行う.平行して微分幾何学を用いた構造・運動の最適化をシミュレーションにより実施する.それらの形がある程度見えた段階でモデルを用いた状態推定オブザーバや柔軟センサによる状態推定手法の確立と,推定値を利用した確率最適制御手法の構築を行い,シミュレーションによる有効性確認を行うと共に柔剛一体ロボットハンド(仮)を試作し性能評価する.その後,核技術の一般化を試み,柔剛一体ソフトロボティクスの設計・制御論の体系化を目指す.

    CiNii Research

  • Super multi-musculoskeletal soft robotics that combines musculoskeletal potential method and soft actuator

    Grant number:21H03523  2021 - 2023

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Hitoshi Kino

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

    Our objective was to expand the musculoskeletal potential method to develop a soft robot featuring a super-multi-muscular skeletal system, which seamlessly integrates three key aspects: musculoskeletal structure, muscle flexibility, and signal processing from the central nervous system. To achieve this, we introduced a muscle viscoelastic model and designed a system where muscle tension serves as muscle activation input. Additionally, we conducted mathematical analysis on a system incorporating multi-joint muscles, elucidating the conditions under which these muscles operate optimally. We investigated posture control of the upper arm utilizing a digital human model that faithfully replicates human body structure with high precision. Through this analysis, we validated the efficacy of our approach using the digital human model. Furthermore, we expanded upon the shooting method and proposed a trajectory generation technique based on iterative trials, confirming its effectiveness.

    CiNii Research

  • 確率モデルベース制御とセンサフィードバックの融合によるソフトロボティクス制御工学

    2020.4 - 2024.3

    JSPS 

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    Authorship:Principal investigator 

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Educational Activities

  • System Control C.
    System Control D.
    Robotics I.
    Robotics II.
    Fundamental Physics
    Advanced Robotics

Class subject

  • システム制御D

    2024.12 - 2025.2   Winter quarter

  • ロボティクスⅡ

    2024.12 - 2025.2   Winter quarter

  • 機械工学コミュニケーションII

    2024.10 - 2025.3   Second semester

  • 機械工学情報集約

    2024.10 - 2025.3   Second semester

  • システム制御C

    2024.10 - 2024.12   Fall quarter

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FD Participation

  • 2024.1   Role:Participation   Title:科研申請について気を付けていること

    Organizer:Undergraduate school department

  • 2023.11   Role:Participation   Title:学生との関わりを活かすアサーション

    Organizer:Undergraduate school department

  • 2023.6   Role:Participation   Title:高校訪問事業(出前講義、入試説明)に係るFD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.11   Role:Participation   Title:【機械系FD】学修目標を評価する意義と方法

    Organizer:University-wide

  • 2020.5   Role:Speech   Title:オンライン講義について

    Organizer:Undergraduate school department

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Visiting, concurrent, or part-time lecturers at other universities, institutions, etc.

  • 2024  北九州市立大学 大学院国際環境工学研究科  Classification:Intensive course  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:9/9〜9/13の平日4日間×1日4限

  • 2023  北九州市立大学 大学院国際環境工学研究科  Classification:Intensive course  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:8/31〜9/6の平日5日間×1日3限

  • 2020  福岡工業大学 工学部 知能機械工学科  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 火曜日1限 知能機械制御工学

  • 2013  EPFL  Classification:Affiliate faculty  Domestic/International Classification:Overseas 

    Semester, Day Time or Duration:2013/3~2014/2

  • 2011  福岡工業大学 工学部 知能機械工学科  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日2,3限 機械制御工学 後期 水曜日3限 ロボット工学

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Participation in international educational events, etc.

  • 2016.1

    UC Berkeley

    The Berkeley Method of Entrepreneurship Bootcamp

      More details

    Venue:Berkeley, CA

    Number of participants:200

Other educational activity and Special note

  • 2024  Coaching of Students' Association  九大ロボコンチームKURT

     詳細を見る

    顧問

  • 2023  Coaching of Students' Association  九大ロボコンチームKURT

     詳細を見る

    顧問

  • 2022  Coaching of Students' Association  九大ロボコンチームKURT

     詳細を見る

    顧問

  • 2021  Coaching of Students' Association  九大ロボコンチームKURT

     詳細を見る

    顧問

  • 2020  Coaching of Students' Association  九大ロボコンチームKURT

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    顧問

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Outline of Social Contribution and International Cooperation activities

  • 国内外の学会に所属し,学会誌や学術講演会・国際会議など,学会の運営に携わっている.
    2013年3月-2014年2月までEPFL(Switzerland)で客員教授として在外研究活動を行う.
    2017年2月-2017年8月までStony Brook University (NY, USA)で客員教授として在外研究活動を行う.

Social Activities

  • 福岡県立城南高等学校2学生に【ロボティクス最前線】と題して出前講義を行った

    Role(s):Lecturer

    福岡県立城南高等学校  2024.7

     More details

    Audience:High school students

    Type:Visiting lecture

  • 愛光学園高校学生に【ロボティクス最前線】と題して出前講義を行った

    愛光学園高校(愛媛)  2023.11

     More details

    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 済々黌高校2年生に【ロボティクスについて】と題して出前講義を行った

    熊本県立済々黌高校  2022.10

     More details

    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 「マニピュレーション冬の学校」において,題目「物体把持のダイナミクスと受動性」の講演

    計測自動制御学会マニピュレーション部会  明治大学  2019.12

     More details

    Audience:General, Scientific, Company, Civic organization, Governmental agency

    Type:Seminar, workshop

  • 「マニピュレーション冬の学校」において,題目「物体把持のダイナミクスと受動性」の講演

    計測自動制御学会マニピュレーション部会  明治大学  2019.12

     More details

    Type:Seminar, workshop

    researchmap

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Media Coverage

  • 【東工大など、人工筋肉に光ファイバー内蔵 熱応答性を利用、温度で制御】 東京工業大学の舛屋賢助教と九州大学の田原健二教授らは、光ファイバー内蔵の釣り糸人工筋肉(TCPA)を開発した。TCPAは高分子繊維を温めると縮む現象を利用する。光ファイバーの熱応答性を利用してTCPAの温度を測り、アクチュエーターとして発揮する力やサイズを温度で制御。新方式のアクチュエーターとして、2023年までに制御モデルを確立する。ナイロン被覆の光ファイバーをねじってコイル状に巻き付けて、140度Cで熱処理する。このコイル状光ファイバーに加熱用のニクロム線を巻くと、加温で縮むTCPAが出来上がる。25度Cから80度Cに加熱すると、1本当たり500ミリ―800ミリニュートン程度の張力を発揮する。この温度制御に光ファイバーの熱応答を利用する。光ファイバーは変形や温度で通過する光の強さが変わる。光通信にとってはノイズである熱応答を数式化し、変形分と温度分の変化を分離してTCPAの温度を推定することに成功した。推定温度からニクロム線での加熱量を調整すると、制御誤差を5%以下に抑えられた。 TCPAをサーモカメラなどで計測するとシステムが大がかりになる。光ファイバー自体がアクチュエーターにもセンサーにもなるとシステムがシンプルになる。人工筋肉は多数の線維を束ねて使う方式が想定される。 今回、開発したTCPAは市販の光ファイバーとニクロム線で構成でき、低コスト化が見込める。材料や製造法などで応答性が変わるため、まずは制御系を確立する。 Newspaper, magazine

    日刊工業新聞  2021.5

     More details

    【東工大など、人工筋肉に光ファイバー内蔵 熱応答性を利用、温度で制御】
    東京工業大学の舛屋賢助教と九州大学の田原健二教授らは、光ファイバー内蔵の釣り糸人工筋肉(TCPA)を開発した。TCPAは高分子繊維を温めると縮む現象を利用する。光ファイバーの熱応答性を利用してTCPAの温度を測り、アクチュエーターとして発揮する力やサイズを温度で制御。新方式のアクチュエーターとして、2023年までに制御モデルを確立する。ナイロン被覆の光ファイバーをねじってコイル状に巻き付けて、140度Cで熱処理する。このコイル状光ファイバーに加熱用のニクロム線を巻くと、加温で縮むTCPAが出来上がる。25度Cから80度Cに加熱すると、1本当たり500ミリ―800ミリニュートン程度の張力を発揮する。この温度制御に光ファイバーの熱応答を利用する。光ファイバーは変形や温度で通過する光の強さが変わる。光通信にとってはノイズである熱応答を数式化し、変形分と温度分の変化を分離してTCPAの温度を推定することに成功した。推定温度からニクロム線での加熱量を調整すると、制御誤差を5%以下に抑えられた。
    TCPAをサーモカメラなどで計測するとシステムが大がかりになる。光ファイバー自体がアクチュエーターにもセンサーにもなるとシステムがシンプルになる。人工筋肉は多数の線維を束ねて使う方式が想定される。

    今回、開発したTCPAは市販の光ファイバーとニクロム線で構成でき、低コスト化が見込める。材料や製造法などで応答性が変わるため、まずは制御系を確立する。

Acceptance of Foreign Researchers, etc.

  • Wuhan University

    Acceptance period: 2017.1   (Period):Less than 2 weeks

    Nationality:China

  • Aristotle University of Thessaloniki

    Acceptance period: 2015.2 - 2015.4   (Period):1 month or more

    Nationality:Greece

Travel Abroad

  • 2024.9

    Staying countory name 1:Netherlands   Staying institution name 1:Ahoy Rotterdam

  • 2024.1

    Staying countory name 1:Viet Nam   Staying institution name 1:Vinpearl Resort and Spa in Halong

  • 2023.9 - 2023.10

    Staying countory name 1:United States   Staying institution name 1:Huntington Place

  • 2023.1

    Staying countory name 1:United States   Staying institution name 1:Georgia Insititute of Technology

  • 2020.1

    Staying countory name 1:United States   Staying institution name 1:Hawaii Convention Center

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