This is awesome I have been wondering how this is coming along. I  guess I
need to update the machine now. Should be really interesting to see how it
works although most of my programming is pretty short and sweet LOL.  peace

Pete



On Wednesday, June 11, 2014, Todd Zuercher <zuerc...@embarqmail.com> wrote:
> Great to hear that it's in.  Looking forward to using it.
>
> Just a couple of questions, have the necessary config changes to use it
been added to the documentation?
> If someone doesn't make the ini changes will the old strategies still
used then?
>
>
> ----- Original Message -----
> From: "Sebastian Kuzminsky" <s...@highlab.com>
> To: "Enhanced Machine Controller (EMC)" <emc-users@lists.sourceforge.net>
> Sent: Wednesday, June 11, 2014 9:29:27 PM
> Subject: [Emc-users] New trajectory planner merged into LinuxCNC's
 development branch
>
> I'm pleased to announce that Robert Ellenberg's new trajectory planner
> has been merged into LinuxCNC.  It is in the master branch, aka 2.7~pre,
> what will become 2.7 later when it's released.  It will be part of build
> v2.7.0-pre0-550-gd699a06 and later.  The new TP is not in 2.5 or 2.6,
> those will keep working the same way they always have.
>
> Robert's new trajectory planner improves LinuxCNC's ability to keep
> machining speed up, while not violating the programmed feed rate or
> machine velocity or acceleration constraints from the ini configuration.
>
> Your G-code programs should still make the same parts as before, but
> they should now adhere to the programmed feed rate more closely, and
> thus cut better and run to completion more rapidly.  The old trajectory
> planner would sometimes slow down more than it needed to, the new one
> does a better job.
>
>
> Many thanks to Robert Ellenberg for all the coding and debugging, and to
> Sam Sokolik and others for relentless testing.
>
>
> Brave users of the master branch!  Please keep an eye on your machines
> and let us know if they misbehave in any way.  (And let us know if your
> machines run better than before!)
>
>
> --
> Sebastian Kuzminsky
>
>
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> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
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HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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