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INVERSE KINEMATICS OF A HUMANOID ROBOTIC ARM WITH FIXED JOINT METHOD

机译:固定关节法的人形机器人手臂逆运动学

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In this paper, we propose a new algorithm to solve the inverse kinematics problem. It would adaptively limit the movability of certain joints during the iteration process of inverse kinematics according to the pose of the manipulator and the target position. This change could prevent lower links to get tangled and cause a singularity. Our research is based on a model of a 7-DOFs (degree of freedoms) humanoid robotic arm, and the parameter study of the inverse kinematics algorithm has been done to increase both success rate and decrease calculation time. This paper provides a fast and low computational cost scheme to calculate inverse kinematics with the ability to reduce the chance of encountering the singular points.
机译:在本文中,我们提出了一种解决逆运动学问题的新算法。在逆向运动学的迭代过程中,它会根据操纵器的位置和目标位置来自适应地限制某些关节的可移动性。此更改可以防止下部链接缠结并引起奇异性。我们的研究基于7自由度类人机器人手臂的模型,并且进行了逆运动学算法的参数研究,以提高成功率并减少计算时间。本文提供了一种快速,低计算量的方案来计算逆运动学,并具有减少遇到奇异点的机会。

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