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An efficient motion generation method for redundant humanoid robot arms based on motion continuity

机译:基于运动连续性的冗余人形机器人臂的高效运动生成方法

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This paper proposes a novel method of motion generation for redundant humanoid robot arms, which can efficiently generate continuous collision-free arm motion for the preplanned hand trajectory. The proposed method generates the whole arm motion first and then computes the actuators' motion, which is different from IK (inverse kinematics)-based motion generation methods. Based on the geometric constraints of the preplanned trajectory and the geometric structure of humanoid robot arms, the wrist trajectory and elbow trajectory can be got first without solving inverse kinematics and forward kinematics. Meanwhile, the constraints restrict all feasible arm configurations to an elbow-circle and reduce the arm configuration space to a two-dimension space. By combining the configuration space and collision distribution of arm motion, collision-free arm configurations can be identified and be used to generate collision-free arm motion, which can avoid unnecessary forward and inverse kinematics. The experiments show that the proposed method can generate continuous and collision-free arm motion for preplanned hand trajectories.
机译:本文提出了一种用于冗余人形机器人臂的运动生成方法,其可以有效地为预先预定的手轨迹产生连续的碰撞臂运动。所提出的方法首先生成整个臂运动,然后计算致动器的运动,这与基于IK(逆运动学)的运动生成方法不同。基于预先预分的轨迹的几何约束和人形机器人臂的几何结构,可以首先获得手腕轨迹和弯头轨迹而不解决反向运动学和前向运动学。同时,约束将所有可行的臂配置限制到弯头圆的配置,并将臂配置空间减少到两维空间。通过组合臂运动的配置空间和碰撞分布,可以识别自由臂配置并用于产生无碰撞的臂运动,这可以避免不必要的前向和逆运动学。实验表明,该方法可以为预先预分的手工轨迹产生连续和不碰撞的臂运动。

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