Takayuki Okatani (Ph.D.)
Title
Team Leader
Members
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Team leaderTakayuki Okatani
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Postdoctoral researcherQuang Nguyen
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Postdoctoral researcherZhijie Wang
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Visiting scientistHidehiko Sekiya
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Visiting scientistMasanori Suganuma
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Visiting scientistPang-jo Chun
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Part-time worker IKang-jun Liu
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Part-time worker IXiangyong Lu
Introduction
There is urgent demand in Japan for making it possible to more efficiently perform inspection of infrastructure such as bridges. Aiming at automating these work by robots, we are studying a variety of AI and Robotic technologies that are necessary for this aim. These include vision-based methods for detecting anomalies such as damages/defects of structures; vision-based methods for recognition of unknown three-dimensional environment surrounding robots and their navigation in the environment; basic research of deep learning methods for these tasks; and development of hardware and autonomous flight control of UAVs with special structures that enable them to continue to fly after collision with surfaces in space.
Main Research Field
Computer Science
Research Field
Engineering / Neuroscience & Behavior / Mathematics
Research Subjects
Robotics for Infrastructure Inspection and Management
Understanding and Improvement of Deep Learning
Understanding and Improvement of Deep Learning
RIKEN Website URL
Introduction Video
Poster(s)
- FY2023 Research Results(PDF 103KB) (Japanese version)
- FY2022 Research Results(PDF 804KB)(Japanese version)
- FY2021 Research Results(PDF 2.49MB)(Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
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