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Inverse Kinematics Solution for a Robotic Arm Through Geometric and Iterative Fusion Based Modelling

机译:基于几何和迭代融合的机械臂逆运动学解决方案

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Every robotic arm has a specific work envelope and a predefined trajectory that it must follow to complete any task. Geometric calculation for determining joint angles and velocity involves complex trigonometric calculations and derivations which are not simple enough to actuate in a control software. Many times, geometric calculation also tend to become unsolvable due to complex work envelopes. Though iterative algorithms provide generalized solution to every serial link manipulator possible, it is computationally very expensive. If the number of nodes is large, this further aggravates the situation. The paper focuses on the methodology to combine iterative and geometrical methods to find inverse kinematics solutions to a 4 Degree of Freedom (DOF) robotic arm. Thus, the paper aims at establishing a bargain between geometric method complexities and iterative method computational load. Iterative method is employed for certain links and geometry is applied for rest of the links to achieve the desired end location with minimum error possible while adhering to the constraints of the work envelope.
机译:每个机械臂都有特定的工作范围和预定义的轨迹,必须遵循该轨迹才能完成任何任务。用于确定关节角度和速度的几何计算涉及复杂的三角计算和推导,这些计算和推导还不够简单,无法在控制软件中进行激活。很多时候,由于复杂的工作范围,几何计算也趋于无法解决。尽管迭代算法为每个可能的串行链接操纵器提供了通用的解决方案,但它在计算上非常昂贵。如果节点数很大,这将进一步加剧这种情况。本文着重于将迭代和几何方法相结合的方法,以找到4自由度(DOF)机械臂的逆运动学解决方案。因此,本文旨在建立几何方法复杂性与迭代方法计算量之间的讨价还价协议。对某些链节采用迭代方法,对其余链节采用几何形状,以在保持工作范围约束的同时,以尽可能小的误差实现所需的最终位置。

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