Whole-body Posture Generation by Adjusting Tool Force with CoG Movement: Application to Soil Digging

Takayuki Murooka, Riku Shigematsu, Kunio Kojima, Fumihito Sugai, Youhei Kakiuchi, K. Okada, M. Inaba
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引用次数: 1

Abstract

Exerting large force is one of the difficult problems for a humanoid robot. In particular, the task which needs large force with a tool or the task whose reference force is unknown such as digging are more difficult. The task of digging was realized in the previous research, but with that method the robot cannot exert large force even though force is not enough for digging because the decision method of reference shovel force is only changing the direction of the current shovel force, and modification of the robot's CoG (center of gravity) is only used for balancing. In this paper, we proposed methods to determine the reference shovel force which is necessary enough to realize the task of digging, and generate feasible posture which exerts the reference shovel force within joint torque limits. To verify the methods, we conducted experiments of the task of digging using a life-size humanoid robot JAXON. JAXON succeeded digging with some soil from soft to hard.
齿轮运动调节工具力产生全身姿势:在挖土中的应用
施加大的力是类人机器人的难点之一。特别是需要使用工具施加较大力的任务或参考力未知的任务,如挖掘,难度更大。在之前的研究中实现了挖掘任务,但由于参考铲力的决定方法仅仅是改变当前铲力的方向,而机器人重心的改变仅仅是为了平衡,因此即使挖的力不够,机器人也无法施加较大的力。在本文中,我们提出了确定完成挖掘任务所需的参考铲力的方法,并产生在关节扭矩限制内施加参考铲力的可行姿态。为了验证这些方法,我们使用真人大小的人形机器人JAXON进行了挖掘任务的实验。JAXON成功地挖掘了一些由软到硬的土壤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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