The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 2A1-N13
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Improvement of Stilt-type Mobility’s usability
-Suggesting new control system with Movement control and Weight control and Reinforcement Learning-
*Koki TSUCHIYAAkira TORIGETatsuya YAMAMOTOToshinobu TAKEI
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Abstract

Recent years, a lot of people are developing innovative micro mobility, for solving the short distance travel in the city with traffic jam. Using Stilt-type Mobility, we can climb steps while driving and take it in the train. Until now, we didn’t research the usability of Stilt-type mobility. When someone drive the stilt-type mobility, it was vibrating so hard, and someone felt so slow for him. In this research, we suggest the new control system and confirm it for improvement the usability. In chapter 2, we suggest new system of movement control and weight control. In chapter 3, we suggest the gain optimization system using reinforcement learning.

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© 2020 The Japan Society of Mechanical Engineers
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