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Solving Inverse Kinematics Model for 7-DoF Robot Arms Based on Space Vector

机译:基于空间矢量的7自由度机械臂逆运动学模型求解

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The 7-DoF Manipulator has a high degree of flexibility and can perform many complex tasks for humans, therefore widely used in many fields. This paper proposes a new method to solve the inverse kinematics model for 7-DoF manipulators. Specifically, it focuses on how to derive equations for the feasible space of the endpoint of each joint and correspondingly the feasible space of each arm-angle when the endpoint of the robot arm is given, which lays the foundation for the robotic arm to complete obstacle avoidance and optimal path planning tasks. First, the influence of the first three joints and the last three joints on the end position of the robotic arm is decoupled. Based on this decoupling, the relationship between the last three joint angles and the end position of the robotic arm is solved through the space vector. Furthermore, the relationship between the end position of the robotic arm and the first three joint angles is obtained through coordinate rotation. Finally, this paper validates the results by simulations.
机译:7自由度机械手具有高度的灵活性,可以为人类执行许多复杂的任务,因此被广泛应用于许多领域。提出了一种求解7自由度机械臂逆运动学模型的新方法。具体来说,它着重于在给出机器人手臂的端点时如何推导每个关节端点的可行空间以及相应地每个手臂角度的可行空间的方程式,这为机器人手臂完成障碍物奠定了基础。回避和最佳路径规划任务。首先,将前三个关节和后三个关节对机械臂末端位置的影响分开。基于这种解耦,通过空间矢量解决了最后三个关节角度与机械臂的末端位置之间的关系。此外,通过坐标旋转获得机械臂的末端位置与前三个关节角度之间的关系。最后,本文通过仿真验证了结果。

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