Crawling gait generation method for four-limbed robot based on normalized energy stability margin
Crawling gait generation method for four-limbed robot based on normalized energy stability margin
复制标题
基于归一化能量稳定裕度的四肢机器人爬行步态生成方法
DOI:
10.1109/ssrr.2017.8088167
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
A. Takanishi
中科院分区:
文献类型:
--
作者:
T. Matsuzawa;K. Hashimoto;Xiao Sun;Tomotaka Teramachi;S. Kimura;Nobuaki Sakai;Y. Yoshida;Asaki Imai;Kengo Kumagai;Takanobu Matsubara;Koki Yamaguchi;W. Tan;A. Takanishi
In this paper, we describe a gait generation method for the crawling motion of a legged robot using Normalized Energy Stability Margin (NESM). The crawling motion is a method of locomotion that, since the robot is very close to a state of falling, its leg and torso are grounded alternately in order to enable the robot to move with a low center of gravity. It has the benefit of decreasing the impact experienced by the robot and reduces the risk of becoming damaged if it falls over. However, during the phase where only the robot's torso is in contact with the ground, the size of robot's support area is smaller than the case when its legs are in contact with the ground. This decrease in support area may cause the robot to fall or tip over sideways in the direction where the edge of robot's cuboid torso is providing the most support on an inclined surface. As a result, the robot's feet may collide with the road's surface when its legs are moving forward and prevent the robot from performing its crawling motion. To deal with this problem, we propose a method of gait generation for the crawling motion based on a stability criteria. Depending on the stability criteria, this method involves the selection of a stance, with which it lifts its torso and a way of controlling the landing height of the robot's feet depending on the unevenness of the surface of the road. In experiments, it has been confirmed that stability was improved when the four-limbed robot performed the crawling motion using the proposed method on an inclined road surface.
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
Takashi Matsuzawa;Kenji Hashimoto;Xiao Sun;Kazuhiro Uryu;Ayanori Koizumi;Shinya Hamamoto;Tomotaka Teramachi and Atsuo Takanishi
通讯作者:
Tomotaka Teramachi and Atsuo Takanishi