Ciaran Moloney

Hi,
you also need to put those fields into the Resizing, Extra Fields parameter on the sparse solver. Since they're not default fields.

Very cool!
This might be a good opportunity to wedge a whole bunch of different constraint settings and iteratively refine until you find best values. Over several generations you might converge at some best general purpose scheme, or perhaps an adaptive one? It could be interesting to leverage PDG for this kind of research.
Is your way a valid approach? It depends really on what your personal goal is. If you just want a nice little animation of a single robot in a short time, then no. But, to learn some fun and difficult technical tasks and get a fun short film from your effort, then for sure, why not?
I think this kind of approach really lends itself to tasks that would be prohibitive to animate. So, if you manage to get a single robot to predictably play volleyball, then you should be ambitious and aim for 10 robots playing volleyball together.

Hi,
you could try packing the pieces using the pack or assemble SOPs. The separate pieces will each then be represented by a single point that can manipulate using transform.