Show HN: Agents infer Lego mechanisms from sources, then animate them

Hi there :)

Around a month ago, I released LDraw Nova, an agentic toolset for assembling LEGO CAD models by generating LDraw source code files.

For more details, here's the Show HN post:

https://news.ycombinator.com/item?id=49937916

From the comments, I got the impression that there was quite an interest in seeing not only AI-generated LEGO models, but also AI-animated LEGO ones.

I took a look at results from past experiments, and found it feasible to use agentic LLMs for:

- analyzing the LDraw source code for LEGO models - reverse-engineer! the mechanisms present by reading the descriptions and sequence for the parts there - and then, animate them via Blender!

This new project I'm presenting, LDraw Mecha, is the end result and proof that can be done:

- Read specially annotated LDraw LEGO models .mpd source files - Infer the model structure in terms of submodels - Select from those the ones that are mechanisms - Plan animations - Execute them in Blender

In summary, from an initial .mpd source file, get a rigged and animated version for the model as a Blender (.blend) file.

See the results here:

- Repo (v0.5.0): https://github.com/anteloc/ldraw-mecha/tree/v0.5.0 - Gallery: https://github.com/anteloc/ldraw-mecha/blob/v0.5.0/GALLERY.m... - Process: https://github.com/anteloc/ldraw-mecha/blob/v0.5.0/PROCESS.m...

This project is very unusual, I'd really appreciate some feedback from the community.

Cheers!