Selecting a suitable grasp motion for humanoid robots with a multi-fingered hand

Tokuo Tsuji, K. Harada, K. Kaneko, F. Kanehiro, Y. Kawai
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引用次数: 3

Abstract

This paper discusses grasp planning of a multi-fingered hand attached at the tip of a humanoid robotpsilas arm. Our planner can select a different grasping style even for the same object if a position/orientation of the object is changed. Also, if the planner cannot find a feasible grasping posture with arm/hand kinematics, a humanoid robot tries to use the whole body motion. These functions are necessary for realizing the robust grasp planning. Our planner defines convex models on both the object and each grasping style. By considering geometrical relationship among these convex models, we determine several parameters needed to define the final grasping configuration. The effectiveness of the proposed method is confirmed by several numerical examples and experimental results.
多指手类人机器人抓取动作的选择
本文讨论了附着在人形机械臂末端的多指手的抓握规划。如果对象的位置/方向发生变化,我们的规划器甚至可以为同一个对象选择不同的抓取样式。此外,如果规划者不能找到一个可行的抓取姿态与手臂/手的运动学,仿人机器人试图使用全身运动。这些功能是实现鲁棒抓取规划所必需的。我们的规划器在对象和每种抓取方式上都定义了凸模型。通过考虑这些凸模型之间的几何关系,我们确定了定义最终抓取构型所需的几个参数。数值算例和实验结果验证了该方法的有效性。
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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