TAKUYA KIYOKAWA
Ph.D. student - Robotics Laboratory
Nara Institute of Science and Technology (NAIST)

Portfolio


under construction...

Biography

Research and working experiences

  • 2016-present

    Robotics Lab.

    • Ph.D. student (2018-present)

    • Creator - IPA Mitou project 2018
      Construction of a framework for quickly deploying image recognition AI aiming to an easy-to-construct robot

    • Master cource student (2016-2018)
      Master's research theme: tactile-based pouring motion inspired by human skill

    • Collaborative researcher - NIT,K
      Biomechanics modeling and analysis of baseball pitching for performance improvement and disability prevention

    • Technical assistant - ATOUN Inc.
      Measurement and analysis of biological signal and whole body motion for development and evaluation of a power assist robot

    • System engineering intern - YASKAWA Electric Corporation
      Training on simulation and deployment of industrial robotic systems

    • Advanced cource student (2014-2016)
      Special research theme: Modeling of forearm pro-supination for sports biomechanics

    • Visiting student - Ngee Ann Polytechnic
      2-weeks' lecture of training on implementation of digital signal processing theory

    • Software development intern - Tokyo Electron Kyushu Limited
      Software development of semiconductor manufacturing equipment

    • Technical college student (2009-2014)
      Graduation research theme: An artificial-muscle-driven robotic arm with biarticular muscles

    • Exchange student - Temasek Polytechnic
      Student exchange program for 2-weeks

Publication

International conferences

  1. Takuya Kiyokawa, Ming Ding, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu and Tsukasa Ogasawara:
    ''Generation of a Tactile-based Pouring Motion Using Fingertip Force Sensors,''
    in Proc. of the 2019 IEEE/SICE Int. Symp. on System Integration, Paris, France, January, 2019. (accepted)
  2. Takuya Kiyokawa, Kosei Nojiri, Hirohumi Ohtsuka and Youji Okayama:
    ''Estimation of Kinematics Parameters Dependent on Pronation Supination for Modeling Forearm Skeletal System based on CT Images,''
    in Proc. of the 2015 IEEE/SICE Int. Symp. on System Integration, ThAT6.3, Nagoya, Japan, December, 2015.
  3. Kosei Nojiri, Takuya Kiyokawa and Yoji Okayama:
    ''Forearm Skeleton Modeling for Pro-/supination Movement using CT Image Measurement,''
    in Proc. of the 2015 IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, SaD2.7, Busan, Korea, July, 2015.

Domestic conferences

  1. Takuya Kiyokawa, Keita Tomochika, Jun Takamatsu and Tsukasa Ogasawara:
    ''Multi-view Image Dataset Collection Using Web Application,''
    in Proc. of the IEEE/SICE System Integration Division, 3D4-12, Osaka, December, 2018.
  2. Yuto Tsutiya, Takuya Kiyokawa, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu and Tsukasa Ogasawara:
    ''Pouring Motion from Deformable Container Based on Tactile Information Using Dual Arm Robot,''
    in Proc. of the IEEE/SICE System Integration Division, 3A2-07, Osaka, December, 2018.
  3. Kosei Nojiri, Takuya Kiyokawa, Hirohumi Ohtsuka and Etsuo Horikawa:
    ''Development of 3-axis Force Sensor Ball Capable of Measuring Contact Forces of Multiple Fingers,''
    in Proc. of the IEEE/SICE System Integration Division, 1D2-11, Osaka, December, 2018.
  4. Yuki Kitamura,Takuya Kiyokawa, Ming Ding, Jun Takamatsu and Tsukasa Ogasawara:
    ''Development of Soft Fingers with Temperature Controllable Passive Mechanism for Touch-Care Robot,''
    in Proc. of the 36th Annual Conf. of the Robotics Society of Japan, 2D1-01, Kasugai, September, 2018.
  5. Keita Tomochika, Takuya Kiyokawa, Jun Takamatsu and Tsukasa Ogasawara:
    ''Unbiased Training Data Collection System for Object Detection using Visual Markers,''
    in Proc. of the Robotics and Mechatronics Conf. 2018, 2A2-J18, Kitakyushu, June, 2018.
  6. Takuya Kiyokawa, Keita Tomochika, Ming Ding, Jun Takamatsu and Tsukasa Ogasawara:
    ''Automatic Annotation of Training Data using Visual Markers for Object Detection in Automated Factories,''
    in Proc. of the 23th Robotics Symp., 5D4, Yaizu, March, 2018. (Reviewed extended abstract)
  7. Sung-Gwi Cho, Takuya Kiyokawa, Keita Tomochika, Masahiro Yoshikawa and Tsukasa Ogasawara:
    ''Operation of Robot Arm Using Hand Motion Recognition Based on Forearm Deformation,''
    in Proc. of the Human Interface Symp. 2017, 7D2-2, Osaka, September, 2017.
  8. Kosei Nojiri and Takuya Kiyokawa:
    ''Integration of Ulna Behavior Estimation Method for Forearm Pro-/supination using Motion Capture,''
    in Proc. of the 58th Conf. of Japan Ergonomics Society, C3-4, Narashino, June, 2017.
  9. Kosei Nojiri, Takuya Kiyokawa, Hirohumi Ohtsuka, Etsuo Horikawa and Yoji Okayama:
    ''Suggestion of Ulna Behavior Estimation Method for Forearm Pro-/supination using Motion Capture,''
    in Proc. of the 24th Biannual Cong. of Japanese Society of Biomechanics, O3B0930, Kusatsu, September, 2016.
  10. Takuya Kiyokawa, Kosei Nojiri, Hirohumi Ohtsuka and Daisuke Iwata:
    ''Estimation of Rotation Center Axis with Forearm Parallel-mechanism for Pitching Motion,''
    in Proc. of the JSME Symp.: Sports Engineering and Human Dynamics 2015, A-8, Kusatsu, October, 2015.
  11. Takuya Kiyokawa, Kosei Nojiri, Hirohumi Ohtsuka and Yoji Okayama:
    ''Kinematic Parameter Estimation Method of Forearm Skeleton Model based on CT Image,''
    in Proc. of the 13th Japan Biomedical Engineering Symp., Okayama, September, 2015. (Reviewed paper)
  12. Takuya Kiyokawa, Kosei Nojiri and Yoji Okayama:
    ''Suggestion of Non-linear Stiffness Parameter Estimation Method using Particle Swarm Optimization for Forearm Skeleton Model,''
    in Proc. of the Robotics and Mechatronics Conf. 2015, 1P1-I03, Kyoto, May, 2015.
  13. Takuya Kiyokawa and Kosei Nojiri:
    ''A Consideration on Stiffness Parameter Estimation Method for Pro-/supination Model of Forearm Skeleton,''
    in Proc. of the 2nd Multi-symposium on Control Systems, 544-5, Tokyo, March, 2015.
  14. Kosei Nojiri and Takuya Kiyokawa:
    ''Parameter Estimation of Pro-/supination Model for Forearm Skelton with Particle Swarm Optimization,''
    in Proc. of the IEEE/SICE System Integration Division, 3J3-2, Tokyo, December, 2014.
  15. Kosei Nojiri and Takuya Kiyokawa:
    ''Motion Analysis of Pro-/supination for Estimation of Forearm Rotation Center Axis,''
    IEICE Technical Report, vol. 114, no. 261, pp. 3-6, October, 2014.

Activity

Activities and achivements

Patents

  1. Keita Tomochika, Takuya Kiyokawa, Tsukasa Ogasawara, Jun Takamatsu and Ming Ding:
    ''Creation Method of Training Data Set and Apparatus,''
    Japanese Patent Application No. 2018-066282, 2018.
  2. Keita Tomochika, Takuya Kiyokawa, Tsukasa Ogasawara, Jun Takamatsu and Ming Ding:
    ''Creation Method of Training Data Set, Object Recognition and Pose Estimation Method,''
    Japanese Patent Application No. 2017-147305, 2017.

Grants

  1. June 2018 - Mar. 2019, NAIST Creative and International Competitiveness Project (CICP 2018)
    ''CAD-based and Domain Adaptive Robotic Assembly System with Universal Robot Gripper''
  2. June 2017 - Mar. 2018, NAIST Creative and International Competitiveness Project (CICP 2017)
    ''Automatic Annotation of Training Data for Robot Picking System''

Awards

  1. Mar. 2018, Repayment Exemption for Students with Excellent Grades
    Japan Student Services Organization (JASSO) Type 1 scholarship, Exemption of half of loan

Articles

  1. Jan. 4, 2018, The Nikkan Kogyo Shinbun
    ATOUN, Assist Suit
  2. July 24, 2017, The Nikkan Kogyo Shinbun|NEWSWITCH
    Hackasson "Super Baseball"
  3. Oct. 14, 2016, The Nara Shinbun
    Ball Catching Robot

Workshops

  1. Mar. 28, 2018, Keihanna Research Complex 12th framework lecture (Kyoto) No. 4
    ''Automatic Collection Method of Training Data for Product Recognition System'' (poster)
  2. Dec. 10-11, 2017, Workshop for Creative and International Competitiveness Project (Nara) #10
    ''Automatic Annotation of Training Data for Robot Picking System'' (poster and demo)
  3. Sept. 14, 2017, Keihanna Research Complex 6th framework lecture (Kyoto) No. 2
    ''Development of a Robot Picking System for Factory Automation using Deep Learning'' (poster)

Exhibitions

  1. Aug. 30-31, 2018, Innovation Japan (Tokyo)
    ''Make AI smarter, quickly sort items'' (poster and demo)
  2. Nov. 8-9, 2017, Business Encourage Fair, with presentation for seeds of technology (Osaka)
    ''A Framework for Quickly Deploying Product Recognition System'' (poster and demo)
  3. Oct. 26-28, 2017, Keihanna IT-fair (Kyoto)
    ''A Framework for Quickly Deploying Product Recognition System'' (poster and demo)
  4. Oct. 19-21, 2016, Japan Robot Week 2016 (Tokyo)
    ''Ball Catching Robot'' (poster and demo)
  5. Oct. 13, 2016, Keihanna Business Messe 2016 (Kyoto) No.94
    ''Ball Catching Robot'' (poster and demo)

Educational activities

  1. Apr. 2018 - present, Research Assistant
    Researches of ''Robot motion generation by multimodal teaching''
  2. Oct. 2017 - Jan. 2018, 3D-printer Manager
    3D-printing assistant
  3. Apr. 2017 - Aug. 2017, Advanced Robot Development I
    Teaching assistant - Lecture for NAIST IT3 RT-PBL (Robot Technology-Problem-Based Learning)
  4. Apr. 2017 - Aug. 2017, Global Entrepreneur I, II, III, IV
    Teaching assistant - Lectures for NAIST GEIOT (Global Entrepreneurs in Internet Of Things)
  5. Apr. 2017 - Aug. 2017, Prototyping Foundation A, B ,C, D
    Teaching assistant - Lectures for NAIST GEIOT (Global Entrepreneurs in Internet Of Things)
  6. Feb. 23-24, 2017, Spring Seminar at NAIST Robotics Lab. No.21
    Lecturer - Spring Seminer 2017,
    ''Picking Motion Generation of Robot Arm based on Object Recognition''

Contact Me

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