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![Page 1: Rotations and Translations Cherevatsky Boris. Mathematical terms The inner product of 2 vectors a,b is defined as: The cross product of 2 vectors is defined.](https://reader036.fdocuments.net/reader036/viewer/2022062801/56649e175503460f94b0302f/html5/thumbnails/1.jpg)
Rotations and Translations
Cherevatsky Boris
![Page 2: Rotations and Translations Cherevatsky Boris. Mathematical terms The inner product of 2 vectors a,b is defined as: The cross product of 2 vectors is defined.](https://reader036.fdocuments.net/reader036/viewer/2022062801/56649e175503460f94b0302f/html5/thumbnails/2.jpg)
Mathematical terms The inner product of 2 vectors a,b is defined as:
The cross product of 2 vectors is defined as:
A unit vector will be marked as:
, , , , ,x y z x y z x x y y z za a a a b b b b a b a b a b a b
X
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Representing a Point 3D A three-dimensional point
A is a reference coordinate system
here
z
y
xA
p
p
p
P
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Representing a Point 3D (cont.)
Once a coordinate system is fixed, we can locate any point in the universe with a 3x1 position vector.
The components of P in {A} have numerical values which indicate distances along the axes of {A}.
To describe the orientation of a body we will attach a coordinate system to the body and then give a description of this coordinate system relative to the reference system.
![Page 5: Rotations and Translations Cherevatsky Boris. Mathematical terms The inner product of 2 vectors a,b is defined as: The cross product of 2 vectors is defined.](https://reader036.fdocuments.net/reader036/viewer/2022062801/56649e175503460f94b0302f/html5/thumbnails/5.jpg)
Example
0
2
1
PB ?PA
30
134.05.02866.0)30sin()30cos( 00 YB
XB
XA PPP
232.2YAP
000.0
232.2
134.0
0
2
1
*
000.1000.0000.0
000.0866.0500.0
000.0500.0866.0
PA
000.0ZAP
AX
BX
AYBY
PB
30
![Page 6: Rotations and Translations Cherevatsky Boris. Mathematical terms The inner product of 2 vectors a,b is defined as: The cross product of 2 vectors is defined.](https://reader036.fdocuments.net/reader036/viewer/2022062801/56649e175503460f94b0302f/html5/thumbnails/6.jpg)
Description of Orientation
ˆˆˆˆˆˆ
ˆˆ ˆˆ ˆˆ
ˆˆ ˆˆ ˆˆ
ˆˆˆ
ABABAB
ABABAB
ABABAB
BA
BA
BAA
B
ZZZYZX
YZYYYX
XZXYXX
ZYXR
BX
AX
BX
AYBY
is a unit vector in B
is a coordinate of a unit vector of B in coordinates system A (i.e. the projection of onto the unit direction of its reference)
BA X
BX
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Example Rotating B relative to A around Z by30
000.1000.0000.0
000.0866.0500.0
000.0500.0866.0
RAB
AX
BX
AYBY
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Example In general:
AX
BX
AYBY
100
0cossin
0sincos
ZABR
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Using Rotation Matrices
PRP BAB
A
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Translation
AX
AY
AZ
BX
BY
BZ
PB
BORGAP
BORGABA PPP
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Combining Rotation and Translation
BORGABA
BA PPRP
AX
BX
PB
BORGAP
PAAY
BY
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What is a Frame ? A set of four vectors giving position and
orientation information. The description of the frame can be
thought as a position vector and a rotation matrix.
Frame is a coordinate system, where in addition to the orientation we give a position vector which locates its origin relative to some other embedding frame.
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Arrows Convention An Arrow - represents a vector drawn
from one origin to another which shows the position of the origin at the head of the arrow in terms of the frame at the tail of the arrow. The direction of this locating arrow tells us that {B} is known relative to {A} and not vice versa.
Mapping a vector from one frame to another – the quantity itself is not changed, only its description is changed.
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Rotating a frame B relative to a frame A about Z axis by degrees and moving it 10 units in direction of X and 5 units in the direction of Y. What will be the coordinates of a point in frame A if in frame B the point is : [3, 7, 0]T?
Example
30
000.0
562.12
098.9
000.0
000.5
000.10
0.000
7.562
0.902-
000.0
000.5
000.10
000.0
000.7
000.3
000.1000.0000.0
000.0866.0500.0
000.0500.0866.0
PA
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Extension to 4x4
110001
PPRP BBORG
AAB
A
We can define a 4x4 matrix operator and use a 4x1 position vector
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Example
If we use the above example we can see that:
1000
000.0000.1000.0000.0
000.5000.0866.0500.0
000.10000.0500.0866.0
TAB
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P in the coordinate system A
1
000.0
562.12
098.9
1
000.0
000.7
000.3
1000
000.0000.1000.0000.0
000.5000.0866.0500.0
000.10000.0500.0866.0
PA
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Formula
PTP BAB
A
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Compound Transformation
PTP BAB
A PTP CBC
B
PTTP CBC
AB
A TTT BC
AB
AC
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Several Combinations
TTT
TTTT
TT
TTTTTT
BC
UB
UC
DC
DA
UA
UC
AU
UA
DC
BC
UB
DA
UA
UD
1
1
11
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Example
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Example
000.1000.0000.0000.0
000.0000.1000.0000.0
000.0000.0000.1000.0
000.3000.0000.0000.1
TAB
000.1000.0000.0000.0
000.2000.0000.0000.1
000.0500.0866.0000.0
000.0866.0500.0000.0
TBC
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Notes
Homogeneous transforms are useful in writing compact equations; a computer program would not use them because of the time wasted multiplying ones and zeros. This representation is mainly for our convenience.
For the details turn to chapter 2.
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Euler Theorem
In three-dimensional space, any displacement of a rigid body such that a point on the rigid body remains fixed, is equivalent to a single rotation about some axis that runs through the fixed point.
How can we compute the axis of rotation? (Eigenvector corresponding to eigenvalue 1).
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Quaternions
The quaternion group has 8 members:
Their product is defined by the equation:
, , , 1i j k
2 2 2 1i j k ijk
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Quaternions Algebra
We will call the following linear combination a quaternion. It can be written also as:
All the combinations of Q where a,b,c,s are real numbers is called the quaternion algebra.
Q s ia jb kc s v
, , ,Q s a b c
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Quaternion Algebra
By Euler’s theorem every rotation can be represented as a rotation around some axis
with angle . In quaternion terms:
Composition of rotations is equivalent to quaternion multiplication.
K
1 2 3 42 2ˆ ˆ( , ) (cos( ) sin( ) ) ( , , , )Rot K K
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Example
We want to represent a rotation around x-axis by 90 , and then around z-axis by 90 :
31 1
2 2 2
(cos(45 ) sin(45 ) )(cos(45 ) sin(45 ) )
( )( ) cos(60 )
3
( ),120
3
o o o o
o
o
k i
i j ki j k
i j kRot
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Rotating with quaternions
We can describe a rotation of a given vector v around a unit vector u by angle :
this action is called conjugation.
* Pay attention to the inverse of q (like in complex numbers) !
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Rotating with quaternionsThe rotation matrix corresponding to a rotation by the unit quaternion z = a + bi + cj + dk (with |z| = 1) is given by:
Its also possible to calculate the quaternion from rotation matrix:Look at Craig (chapter 2 p.50 )
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Rodrigues formula
We would like to rotate a vector v around a unit vector u with angle the rotated vector will be:
cos sin , (1 cos )rotv v u v u v u