Teacher Information

• Hitoshi Kono コウノ　ヒトシ

Affiliation

• TOKYO POLYTECHNIC UNIVERSITY Faculty of Engineering、Department of Engineering、Machinery Course Full-Time Teacher
• TOKYO POLYTECHNIC UNIVERSITY Graduate school、Electronics and information Technology Part-Time Teacher(kennin)

Academic Background

Career

• 2004-04 Full-Time Employee
• 2010-04 Regular staff
• 2015-04 2017-03 Research Associate
• 2017-04 2019-03 Research associate
• 2017-04 2022-03 Research associate

Academic Society and Social Activity

• 2022 2022-07 2023 IEEE/SICE International Symposium on System Integrations (SII 2023) ENG International committee member, special session co-organizer
• 2019 2020-01 2019 IEEE/SICE International Symposium on System Integrations (SII 2020) ENG Session chair
• 2019 2019-09 2019 IEEE/SICE International Symposium on System Integrations (SII 2020) ENG Principal organizer of special session
• 2019 2019-07 IEEE International Conference on Robotics and Biomimetics 2019 (ROBIO2019) ENG Program committee member
• 2018 2019-03-22 浅草高等学校 出前授業 ENG 講師

Qualification

Field of Research

• Machine Engineering

License

Patent

Special Instructions About Experienced Worker

• 2018 科研費：若手研究　自己身体表象を基にした異なる身体性を有する学習ロボット間での転移学習
• 2018 研究寄付金：公益財団法人　電気通信普及財団
• 2018 研究寄付金：公益財団法人スズキ財団
• 2018 研究寄付金：公益財団法人中山隼雄科学技術文化財団
• 2017 科研費：認知心理学におけるプライミング効果を基にした強化学習ロボットによる知識選択

Other

• 2021 Performance Improvement of SLAM Based on Global Registration Using LiDAR Intensity and Measurement Data of Puddle オンライン ENG
• 2021 Autonomous Motion Control Using Deep Reinforcement Learning for Exploration Robot on Rough Terrain オンライン ENG
• 2019 3D Visualization of Near-Infrared Information Fukushima Japan ENG
• 2017 Multi-localization Methods for Fault Diagnosis in Autonomous Mobile Robots Systems Okinawa Japan ENG
• 2017 Recovery Motion Learning for Arm Mounted Mobile Crawler Robot in Drive System’s Failure Toulouse, France ENG

Author

Academic Theses

• 2022 Body Calibration: Automatic Inter-task Mapping Between Multi-legged Robots with Different Embodiments in Transfer Reinforcement Learning Satoru Ikeda, Hitoshi Kono, Kaori Watanabe, Hidekazu Suzuk 2022-05 Actuators Vol.11, No. 5 Article number 140 ENG
• 2021 A Self-localization Method Using a Genetic Algorithm Considered Kidnapped Problem Kaori Watanabe, Yuehang Ma, Hitoshi Kono, Hidekazu Suzuki 2022-01 Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.26, No.1 pp. 32-41 ENG
• 2020 Automatic Transfer Rate Adjustment For Transfer Reinforcement Learning Hitoshi Kono, Yuto Sakamoto, Yonghoon Ji, Hiromitsu Fujii 2020-11 International Journal of Artificial Intelligence & Applications vol.11, no.5/6 pp.47-54 ENG
• 2019 Activation and Spreading Sequence for Spreading Activation Policy Selection Method in Transfer Reinforcement Learning Hitoshi Kono, Ren Katayama, Yusaku Takakuwa, Wen Wen, and Tsuyoshi Suzuki 2019-12 International Journal of Advanced Computer Science and Applications vol.10, no.12 pp. 7-16 ENG
• 2019 3D Visualization of Near-Infrared Information Hiromitsu Fujii, Misaki Sugawara, Hitoshi Kono and Yonghoon Ji 2019-10 The Fukushima Research Conference 2019 on Remote Technologies for Nuclear Facilities (FRC2019) p.5 ENG