2018 INNO-vation Disruptive Challenger
The ultimate goal is to have a large number of ultra-small sensor nodes with flying capabilities similar to dragonflies and perform global-scale multipoint environment scanning. The appearance of fully-fledged artificial muscle seems to be a long way off, so we first must use currently available technology: ultra-small motors. The aim is to make several tens of centimeter-sized flapping airplanes driven by gear and crank mechanisms (comparable to flying organisms). The milestone is to achieve motor function and develop autonomous flight technology. Finally, a vertical take-off and landing fluttering machine that can change the aerial altitude from hovering flight to level flight has been created. Therefore, in the INNO-vation program, we will target the autonomous flight of the flapper using machine learning.
Doctor of EngineeringProfessor, Waseda University
Takanobu Watanabe was born in 1972. He received the Ph. D. degree from Waseda University in 1999. He is currently a Professor at Waseda University. His research field includes electronic materials engineering and computational physics.
Development of an "Fluidized Bed Interface" Using the Fluidized Bed Phenomenon to Liquefy Granular Material
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