Takayuki Okatani (Ph.D.)
Team Leader


Laboratory's photo

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