Sudeep,

FeatherstoneMethod should not require any implementation of joints, I think
it should work with knowledge of the rigid bodies and particles in a system
and their relative kinematics. That would keep things general. I do think
that a nice implementation of a spatial vector would provide the best
foundation for building the Featherstone algorithm and allow it to work
with the classes we have already established for describing the kinematics
of a system.

Jason
moorepants.info
+01 530-601-9791


On Mon, Feb 8, 2021 at 9:08 AM Sudeep Sidhu <sudeepmanilsi...@gmail.com>
wrote:

> Jason,
>
> I would like to work in this realm in this year's GSoC.
>
> I went through Sahil Shekhewat's and James Milam's (jbm950) previous
> unmerged GSoC work and found out that(I may be wrong)  *FeatherStoneMethod
> *can't be added until we add fully working *JointsMethod* class and
> implement  *spatial vectors*.
>
> I would like to implement *Spatial Vectors* in this year's GSoC and would
> like to discuss it further.
>
> Sudeep Sidhu
>
>
>
>
>> On Sun, Feb 7, 2021 at 2:24 PM Jason Moore <moore...@gmail.com> wrote:
>>
>>> Sudeep,
>>>
>>> The topics related to sympy.physics.vector/mechanics are still
>>> possibilities. I will have time to mentor this summer if someone wants to
>>> do projects in this realm.
>>>
>>> We have not updated the ideas page yet for this year so those could be
>>> adjusted. Off the top of my head here are some things that I think are
>>> priorities:
>>>
>>> - Finish and enhance the work of Sahil Shekhewat so that models can be
>>> built with body and joint specifications (unmerged GSOC work).
>>> - Finish and enhance the work of James Milam (jbm950) that adds a
>>> FeatherstoneMethod. This is one way to increase the computational
>>> efficiency. One thing that is missing are nice implementations of spatial
>>> vectors and their operators.
>>> - Finish and enhance the work of Nikhil Pappu. The Autolev parser needs
>>> to be battle tested on some examples and bugs worked out. We need the tests
>>> in the private gitlab repo to actually be run by SymPy. (merged, but not
>>> polished GSOC work).
>>> - The Linearizer class was updated by James Crist, but I think it is
>>> effectively broken for more complex problems. This needs to be fixed and we
>>> need examples of it working for systems with holonomic and nonholonomic
>>> constraints.
>>> - Improve symbolic computational speed. Hard examples need to be
>>> profiled and the Python implementations improved, work on the core
>>> differentiation algorithms to maximize speed, and ensure that optional
>>> dependencies on symengine function and help for hard problems.
>>> - Develop a more comprehensive set of examples. I've started creating
>>> more and migrating threse to the PyDy documentation:
>>> https://pydy.readthedocs.io/en/latest/#examples. One barrier to user
>>> adoption is the lack of examples that are clearly written that cover all
>>> types of dynamic systems.
>>> - I've recently discovered that for some problems the resulting symbolic
>>> equations are in a form that results in numerical error accumulation in the
>>> arithmetic. This is problematic and figuring out what this issue is and
>>> remedying it would be a nice improvement.
>>> - All of these PRs are hanging:
>>> https://github.com/sympy/sympy/pulls?q=is%3Aopen+is%3Apr+label%3Aphysics.mechanics
>>> and it would be nice to resolve them and get them merged.
>>> - If work can be done on PyDy, as has in the past, there are several
>>> things there too 1) support DAEs, 2) improve the visualizer in a number of
>>> ways, 3) migrate examples to jupyter-sphinx, etc.
>>>
>>> At this point, I'm generally in disfavor of proposing any new features
>>> or extensions to the library over fixing and improving what we already
>>> have. As you can see, we have several GSoC projects that were not fully
>>> polished off or were not merged at all.
>>>
>>> Jason
>>> moorepants.info
>>> +01 530-601-9791 <(530)%20601-9791>
>>>
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>>>
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