I doubt you'd want any kind of motor drivers on the board.   The board
would have logic level outputs only and would interface to
industry-standard motor drivers that run off step/direction or 0 to 10
volts or even Ethercat.

This is where the board gets larger and expensive as it would need to
support 3 or 5 different kinds of interfaces for 5 or 6 axis.    But the
hope is that mas producing one PCB is cheaper than making five different
variation


Also,...     If these are a true "Open Source" design then we users would
send the Geber file to a PCB fab in China and have 3 to 5 PCBs made then
solder down only the parts we need.    Those only using step/direction woud
not bother to buy or solder down the analog or Ethercat chips. and
connectors.

On Thu, Mar 12, 2020 at 12:19 PM Mala Dies <fun...@gmail.com> wrote:

> Hello,
>
> I erased my last message. I think my last message was just reaching out.
> Here:
>
>
>    - What are we talking about in regards to the power consumption of the
>    available wattage?
>       - 125w
>       - 150w
>       - 175w
>       - etc...
>    - I am asking b/c some motors will drive that much wattage by
>    themselves.
>    - I am missing something as usual.
>       - Would we power the board, AI, separately?
>       - Are the pins already available on the AI for use without .dts
>       files?
>          - If not, can we expect a config-pin source to work in the
>          future?
>          - Or, are we going to have to deal with EEPROM already
>          "registered?"
>
> I have these subtle questions because I am all in on this idea. I do not
> care for the AI handling the GUI. I would rather my chromebook or laptop
> handle it.
>
> Can I expect to handle more than three, 100w brushless stepper motors?
>
> Seth
>
> P.S. I will have a million more questions available by the time I post
> next. I am being nosey on purpose. I want to know things. I especially want
> to know what type of motors I can handle on this Cape. Are people already
> handling design, a wiki, and/or status updates on this venture?
>
>
>
>
>
>
>> Seeed is looking to not only build a Machinekit-focused Cape for
>> BeagleBone Black and BeagleBone AI, but to:
>> * Take in features and feedback from the community
>> * Contribute the design to open source and certify it as such
>> * Manufacture the design under the BeagleBoard.org name to support the
>> BeagleBoard.org Foundation and community
>> * Help assemble and provide software images configured for an open source
>> 3D printer and CNC machine (with BeagleBoard.org and community guidance and
>> support)
>> * Offer a collection of additional accessories which might commonly be
>> needed
>>
>> I am very excited about this because I know Seeed cares about open
>> hardware and also knows how to deliver solutions reliably and cost
>> effectively.
>>
>> So, what are your ideas about where to start on such a cape?
>> --
>> https://beagleboard.org/about
>>
>
> On Thursday, March 12, 2020 at 8:38:53 AM UTC-5, Jason Kridner wrote:
>>
>> Seeed is looking to not only build a Machinekit-focused Cape for
>> BeagleBone Black and BeagleBone AI, but to:
>> * Take in features and feedback from the community
>> * Contribute the design to open source and certify it as such
>> * Manufacture the design under the BeagleBoard.org name to support the
>> BeagleBoard.org Foundation and community
>> * Help assemble and provide software images configured for an open source
>> 3D printer and CNC machine (with BeagleBoard.org and community guidance and
>> support)
>> * Offer a collection of additional accessories which might commonly be
>> needed
>>
>> I am very excited about this because I know Seeed cares about open
>> hardware and also knows how to deliver solutions reliably and cost
>> effectively.
>>
>> So, what are your ideas about where to start on such a cape?
>> --
>> https://beagleboard.org/about
>>
> --
> website: http://www.machinekit.io blog: http://blog.machinekit.io github:
> https://github.com/machinekit
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>


-- 

Chris Albertson
Redondo Beach, California

-- 
website: http://www.machinekit.io blog: http://blog.machinekit.io github: 
https://github.com/machinekit
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