(2.70)
A set of basic homogeneous transformations generating SE(3) is given by
(2.71)
(2.72)
(2.73)
for translation and rotation about the x, y, z-axes, respectively.
The most general homogeneous transformation that we will consider may be written now as
(2.74)
In the above equation n = (nx, ny, nz) is a vector representing the direction of x1 in the o0x0y0z0 frame, s = (sx, sy, sz) represents the direction of y1, and a = (ax, ay, az) represents the direction of z1. The vector d = (dx, dy, dz) represents the vector from the origin o0 to the origin o1 expressed in the frame o0x0y0z0. The rationale behind the choice of letters n, s, and a is explained in Chapter 3.
The same interpretation regarding composition and ordering of transformations holds for 4 × 4 homogeneous transformations as for 3 × 3 rotations. Given a homogeneous transformation H01 relating two frames, if a second rigid motion, represented by H ∈ SE(3) is performed relative to the current frame, then
whereas if the second rigid motion is performed relative to the fixed frame, then
Example 2.10.
The homogeneous transformation matrix
2.6.2 Exponential Coordinates for General Rigid Motions
Just as we represented rotation matrices as exponentials of skew-symmetric matrices, we can also represent homogeneous transformations as exponentials using so-called twists.
Definition 2.3.
Let v and k be vectors in
(2.75)
We define se(3) as
(2.76)
se(3) is the vector space of twists, and a similar argument as before in Section 2.5.4 can be used to show that, given any twist ξ ∈ se(3) and angle
2.7 Chapter Summary
In this chapter, we have seen how matrices in SE(n) can be used to represent the relative position and orientation of two coordinate frames for n = 2, 3. We have adopted a notional convention in which a superscript is used to indicate a reference frame. Thus, the notation
The relative orientation of two coordinate frames can be specified by a rotation matrix, R ∈ SO(n), with n = 2, 3. In two dimensions, the orientation of frame 1 with respect to frame 0 is given by
in which θ is the angle between the two coordinate frames. In the three-dimensional case, the rotation matrix is given by
In each case, the columns of the rotation matrix are obtained by projecting an axis of the target frame (in this case, frame 1) onto the coordinate axes of the reference frame (in this case, frame 0).
The set of n × n rotation matrices is known as the special orthogonal group of order n, and is denoted by SO(n). An important property of these matrices is that R− 1 = RT for any R ∈ SO(n).
Rotation matrices can be used to perform coordinate transformations between frames that differ only in orientation. We derived rules for the composition of rotational transformations as
for the case where the second transformation, R, is performed relative to the current frame and
for the case where the second transformation, R, is performed relative to the fixed frame.
In the three-dimensional case, a rotation matrix can be parameterized using three angles. A common convention is to use the Euler angles (ϕ, θ, ψ), which correspond to successive rotations about the z, y, and z-axes. The corresponding rotation matrix is given by
Roll, pitch, and yaw angles are similar, except that the successive rotations are performed with respect to the fixed, world frame instead of being performed with respect to the current frame.
Homogeneous