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Suppose a rigid body generates two velocities at a given pose.
For this problem obtaining labelled training data of the hand in a given pose can be problematic.
The parametric model of the PKM can be directly obtained through differentiating its topological model at given pose.
(2) The parametric model of the PKM can be directly obtained through differentiating its topological model at given pose.
Such manipulator can not attain some given pose (attitude and position), i.e., there will be no any rational inverse solutions for some desired pose.
Regarding its initial pose as the given pose, arbitrary instantaneous screw the rigid body generates has the form in Eq. (2).
An instantaneous motion is a rigid body velocity measured at a given pose, which is constituted by angular velocity about and linear velocity along Mozzi's axis.
We use 3D human pose data as additional information and propose a compact human pose representation, called a weak pose, in a low-dimensional space while still keeping the most discriminative information for a given pose.
Not only is it awkward as hell to try and match the given pose, but you're also then comparing yourself to whoever this girl is that Samsung deemed attractive enough to appear all over their cameras.
At first, the equivalent dynamic stiffness matrix of each leg, made up of curved links joined by spatial joints, is derived; then these matrices are assembled to obtain the Global Dynamic Stiffness Matrix of the robot at a given pose.
It is remarked that with this derivation, the user has the control of the eight possible solutions for a given pose, as they are identified by three Boolean variables defined in the pseudo-code presented.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com