Budget name: FY2020 Kioxia Incentive Research
Representative: Yutaka Matsuo (Tatsuya Matsushima)
Title: Research on utilization of off-line data for robot learning and its application to actual robots
Abstract: This research aims to construct a model of a robot’s environment (world model) as a kind of simulator using offline data, and to apply it to real robot control. In particular, this research aims to evaluate the practicality of the method and solve problems for practical use by applying the applicant’s previous research results to a real robot.
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Our laboratory’s research has been selected for the “2020 Kioxia Incentive Research” by Kioxia Corporation.
