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they both have th same info

we choose to use the left side when designing mechanics

we could have easily chosen the right side

actually they are completely different!

they are the same!

V = [velocity, angular vleocity]

V is spatial veclotiy

V != v + w

V_linVel = v

V_angVel = angular velocity

they are components of tow different vectors

they do not live in R6

but actually in R3cross3

same thing

later!

also from the book: "Strictly speaking spatial vectors live in the

R3×R3 space, but for notational simplicity we will treat them as members of the

R6 space."

R3×R3 space, but for notational simplicity we will treat them as members of the

R6 space."

my point is that spatial velocity is not a sum of angular and linear velocities

@yibochallinger https://github.com/pydy/pydy-tutorial-human-standing works pretty well to show you the ropes on using viz. notebook 8 is on viz.

yes we generate javascript

But anyone know any information about this document? https://www.scribd.com/document/280283656/Modeling-Squat-Jump

It stated that it's using pydy, would like to know if there is any more of this.

Hi. What's the simplest way to extract numerical values for Derivative(u, t) from a pydy System object following running System.integrate()? I know System.integrate() returns a np.ndarray with each column corresponding to the vector of q and u states for the system. But if one derives the EoM with auxiliary speeds to bring into evidence noncontributing forces then these can be functions of the time derivatives of the speeds. Or is there a more efficient way to numerically evaluate these noncontributing forces from the auxiliary equations? Many thanks, Sam

Hi everybody, I opened a new issue pydy/pydy#412 I would appreciate if you could help me find a solution. Thanks in advance.

the link to "Inverted pendulum model of a standing human" on this page seems to be broken as I have reported pydy/pydy#413