Re: [ompl-users] Compound Control Space

[Filippo B. <fil...@gm...>]

hi mark,
thanks for solving my issue and also for providing an example.
in my planning problem i need a compound control space composed by a R^n
real vector control space and a discrete control space
it's a model for a polygonal prism being pushed from only one side at once
(the discrete part is the side)

thanks again
Filippo

Il giorno lun 22 gen 2018 alle ore 16:29 Mark Moll <mm...@ri...> ha
scritto:

> Hi Filippo,
>
> This was an oversight. I pushed a commit to Bitbucket and GitHub that
> fixes this:
>
> https://bitbucket.org/ompl/ompl/commits/7334815d9fd2a0dae4c7619f7dbbe7e671ed8936
> (You will have to regenerate your python bindings.)
>
> I have attached a modified version of RigidBodyPlanning.py that shows how
> you can use this. It changes the control space from R^2 to a
> CompoundControlSpace with two copies of R.
>
> I am just curious, what kind of control space do you have that cannot be
> handled by RealVectorControlSpace?
>
> Best,
>
> Mark
>
>
>
> On Jan 19, 2018, at 3:19 AM, Filippo Bertoncelli <
> fil...@gm...> wrote:
>
> hello everybody, is it possible to use a compound control space using
> python?
> i've tried but it seems that i can't access the control value in the
> propagate function (in the demos compound state objects are accessed using
> the as() method, but "as" is a keyword in python and trying to use it as a
> method creates a syntax error) is there a way around this problem in python
> or i have to switch to c++?
> Thanks
> Filippo
>
>
>