Difference between revisions of "Rotations using quaternions"

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Usually rotations are defined by 3 angles, either [[Euler angles|Euler]] or [[Roll-Pitch-Yaw]] angles. So three successive rotations around three different axes lead to a combined rotation, that can be described by a single rotation matrix. Such a combined rotation is equal to a rotation around a certain axis in three-dimensional space about a certain angle. This is shown in the figure on the right. The vector <math>\vec{\mathbf{r}}</math> is rotated such that it results in <math>\vec{\mathbf{r}}'</math>. This could be done by rotating the vector around the z-, the y- and the x-axis successively or by just rotating it around the rotation axis <math>\vec{\mathbf{u}}</math> by <math>\phi</math>. The result is the same as you can see in the example below.
 
Usually rotations are defined by 3 angles, either [[Euler angles|Euler]] or [[Roll-Pitch-Yaw]] angles. So three successive rotations around three different axes lead to a combined rotation, that can be described by a single rotation matrix. Such a combined rotation is equal to a rotation around a certain axis in three-dimensional space about a certain angle. This is shown in the figure on the right. The vector <math>\vec{\mathbf{r}}</math> is rotated such that it results in <math>\vec{\mathbf{r}}'</math>. This could be done by rotating the vector around the z-, the y- and the x-axis successively or by just rotating it around the rotation axis <math>\vec{\mathbf{u}}</math> by <math>\phi</math>. The result is the same as you can see in the example below.
  
{{#iDisplay:https://getwww.uni-paderborn.de/dokumente/robotik/media/applets/Quaternion/RPY-Quaternion.html|900px|600px}}
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{{#iDisplay:https://getwww.uni-paderborn.de/dokumente/robotik/media/applets/Quaternion/RPY-Quaternion.html|900px|500px}}
  
 
[[Category:Applet]]
 
[[Category:Applet]]

Revision as of 16:28, 4 September 2015

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Quaternion-rpy.png

Usually rotations are defined by 3 angles, either Euler or Roll-Pitch-Yaw angles. So three successive rotations around three different axes lead to a combined rotation, that can be described by a single rotation matrix. Such a combined rotation is equal to a rotation around a certain axis in three-dimensional space about a certain angle. This is shown in the figure on the right. The vector \vec{\mathbf{r}} is rotated such that it results in \vec{\mathbf{r}}'. This could be done by rotating the vector around the z-, the y- and the x-axis successively or by just rotating it around the rotation axis \vec{\mathbf{u}} by \phi. The result is the same as you can see in the example below.