Rchr
J-GLOBAL ID：202101012691564225   Update date: Nov. 22, 2024

TAKAMIDO RYOTA

タカミドウ リョウタ | TAKAMIDO RYOTA
Affiliation and department：
The University of Tokyo The Graduate School of Engineering

About The University of Tokyo The Graduate School of Engineering


Research field  (3)： Sports science ,  Perceptual information processing ,  Control and systems engineering
Research keywords  (11)： ロボット工学 ,  模倣学習 ,  人間工学 ,  知覚 ,  スポーツ心理学 ,  人間機械協調 ,  機械学習 ,  運動制御 ,  運動学習 ,  打撃動作 ,  動作計画
Research theme for competitive and other funds  (2)：
  • 2022 - 2023 対人競技場面における身体運動の相互依存関係の定量化
  • 2017 - 2018 日本学生支援機構第一種奨学金 特に優れた成績による返還免除
Papers (18)：
  • Lu,Jiaxi, Takamido,Ryota, Wang,Yusheng, Ota,Jun. How to arrange the robotic environment? Leveraging experience in both motion planning and environment optimization. Frontiers in Robotics and AI. 2024. 11. 1468385
  • Hayakawa,Kenta, Miyashita,Shunsuke, Fujiwara,Nagahiro, Takamido,Ryota, Ota,Jun. A versatile task allocation system for agricultural operations by formulation with a split delivery vehicle routing problem. Proc. 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 2024. 1056-1060
  • Darboven,Johann Arthur, Takamido,Ryota, Ota,Jun. Enhancing non-expert user interaction with robots: an advanced interface for error handling. Proc. 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 2024. 1494-1499
  • Kawawaki,Sohta, Goto,Ayumu, Taneda,Kosuke, Muranaka,Takeshi, Enoki,Yuji, Kobayashi,Toyokazu, Hattori,Tomoya, Takamido,Ryota, Ota,Jun. Multi-AGV motion planning using greedy search algorithms and learned heuristics. Proc. 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 2024. 1539-1544
  • Ryota Takamido, Jun Ota. Action recognition and subsequent in-depth analysis for improving the time efficiency of bimanual industrial work. IEEE Access. 2024. 1-17
ｍore...
Lectures and oral presentations  (34)：
  • Dual-Arm Demonstration Based Single-Arm Robot Motion Planning for Pick and Place Task
    (日本ロボット学会学術講演会第42回学術講演会 2024)
  • 不確実な人教示データを活用した柔軟かつ高速な最適動作計画手法の提案
    (日本ロボット学会学術講演会第42回学術講演会 2024)
  • Enhancing Non-Expert User Interaction with Robots: An Advanced Interface for Error Handling
    (2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) 2024)
  • Multi-AGV Motion Planning Using Greedy Search Algorithms and Learned Heuristics
    (2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2024)
  • A Versatile Task Allocation System for Agricultural Operations by Formulation with a Split Delivery Vehicle Routing Problem
    (The 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM2024) 2024)
ｍore...
Education (3)：
  • 2018 - 2021 Nagoya University School of Education
  • 2016 - 2018 Nagoya University School of Education
  • 2011 - 2015 Nagoya University School of Engineering Mechanical and Aerospace Engineering
Professional career (1)：
  • 心理学 (名古屋大学)
Work history (1)：
  • 2021/04 - 現在 東京大学工学系研究科人工物工学研究センター 特任研究員
Awards (1)：
  • 2024/05 - 2024年度精密工学会春季大会学術講演会 Best Presentation賞 マルチモーダル知覚行動計測システムによる熟練点検技能の抽出
Association Membership(s) (6)：
サービス学会 ,  精密工学会 ,  日本ロボット学会 ,  日本体育学会 ,  運動学習研究会 ,  日本スポーツ心理学会
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