[robot]Forward-Kinematics

本文详细解析了万向节的自由度计算及其约束形式,并通过Grubler准则得出万向节的自由度为2。同时介绍了DH参数在机器人学中的应用,包括各参数的具体含义及如何使用这些参数计算运动学矩阵。

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Forward Kinematics

degree of freedom

universal join 万向节

universal-joint

grubler’s criterion

F=λ(nj1)+i=1jfi

where, F is number of DOF,
n is number of links,
j is number of joints ,
λ is number of DOF in the space.
fi is number of DOF permitted by joint ji.

对于万向节而言, n为3, j 为2, λ 为6,
j1 为 1, j2 为1
所以万向节的自由度为2.

constrain formulation

constrain-formulation

example

3-DOF

2-DOF

exercise

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Forward Kinematics and DH

Forward Kinematics is used to find the position of end effect.

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DH Parameters

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DH relies mainly on the X and Z frames
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ai is distance between zi1 and zi along xi1.

αi is angle from zi1 to zi along xi1.

di is distance between planexi1yi1 to plane xiyi along zi1

θ is angle about previous zi1, from xi1tonew x_{i}$.

xi 始终垂直并与zi相交.

DH 参数只由x,z轴确定。

exercise

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98

57823

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5637

function A = compute_dh_matrix(a, alpha, d, theta)


ctheta = cos(theta);
stheta = sin(theta);
salpha = sin(alpha);
calpha = cos(alpha);
A = [ctheta, -stheta*calpha, stheta*salpha, a*ctheta;
    stheta, ctheta*calpha, -ctheta*salpha, a*stheta;
    0,salpha, calpha,d;
    0,0,0,1];
end
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