| Project/Area Number |
23H01376
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 20020:Robotics and intelligent system-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
タ デゥックトゥン 東京大学, 大学院情報理工学系研究科, 助教 (20869226)
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| Co-Investigator(Kenkyū-buntansha) |
千葉 滋 東京大学, 大学院情報理工学系研究科, 教授 (80282713)
川原 圭博 東京大学, 大学院工学系研究科(工学部), 教授 (80401248)
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| Project Period (FY) |
2023-04-01 – 2027-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥18,980,000 (Direct Cost: ¥14,600,000、Indirect Cost: ¥4,380,000)
Fiscal Year 2023: ¥8,970,000 (Direct Cost: ¥6,900,000、Indirect Cost: ¥2,070,000)
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| Keywords | Body Design / Modularization / Morphology / Soft sensors / Soft robots |
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| Outline of Research at the Start |
- Vision: Robust and versatile printable soft- bodied robots for environment exploration, object manipulation, and human interaction.
- Challenges: We lack of a systematic approach to body design, fabrication, and controlling of the continuum soft-bodied robots.
- Proposal: We will develop hierarchical data-driven learning-based algorithms (reinforcement and curriculum learning) to guide modular soft-bodied robots design and controlling process.
- Impact: Accelerate the development and adoption of soft robotics by helping design versatile soft robots for multiple tasks.
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