著者

中嶋 秀朗 中野 栄二

出版者

一般社団法人日本機械学会

雑誌

日本機械学会論文集. C編 (ISSN:03875024)

巻号頁・発行日

vol.72, no.721, pp.2926-2931, 2006-09-25

参考文献数

5

被引用文献数

5

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A leg-wheel robot has mechanically separated four legs and two wheels, and it performs high mobility and stability on rough terrains. In this paper, the strategy for the leg-wheel robot moving over large rough terrains is described. First, topographical features are classified for the large rough terrain movement. They are classified into 13 patterns by the combination of terrain surfaces. In order to move over all classified terrains, three gaits are proposed as adaptive gait for large rough terrain. Those three gaits are as follows: 1. Gait for an upward step: the forefoot landing point is higher than contact points with the ground of wheels, and the robot raises the body toward the forefoot landing point. 2. Gait for a downward step: the forefoot landing point is lower than contact points with the ground of wheels, and the robot lowers the body toward the forefoot landing point. 3. Gait for getting over an obstacle: the forefoot landing point is not higher than contact points with the ground of wheels, but the robot raises the body as high as possible.

著者

三村 宣治 小野寺 良二

出版者

一般社団法人日本機械学会

雑誌

日本機械学會論文集. C編 (ISSN:03875024)

巻号頁・発行日

vol.72, no.724, pp.3798-3805, 2006-12-25

被引用文献数

1

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This paper investigates a calibration method of 6 DOF acceleration sensor system using multiple linear accelerometers. So far, it has been considered that a set of 6 DOF acceleration data is to be essential to its calibration. In this accelerometer system, 6 DOF acceleration can be resolved using the geometrical condition of 6 linear accelerometers. Therefore, the measurement error results from the alignment error of the 6 linear accelerometers. And so, we analyze the alignment error and give a caribration method to identify the error only using some limited linear accelerations (acceleration of gravity). This paper discusses its calibration method with experiments for our prototype 6 DOF accelerometer. The results show that the calibration using limited data is possible and has good performance.