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Show HN: Simulating autonomous drone formations

(github.com)
21 points wanderinglight | 1 comments | 15 Jul 25 15:18 UTC | HN request time: 0.211s | source
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voxleone ◴[18 Jul 25 22:40 UTC] No.44610579[source]▶
Very interesting. I’ve been working on a small library called SpinStep — it's a Python-based quaternion traversal framework that steps through trees based on orientation thresholds, rather than positional hierarchy. I designed it with spatial decision-making in mind, and while it's still early-stage, it might complement Ketu’s orientation handling or be interesting for modeling formation logic.

Totally open-ended — no expectations at all. Just thought I’d share it in case it aligns with any future ideas you’re exploring.

https://github.com/VoxleOne/SpinStep

replies(1): >>44614476 #
1. wanderinglight ◴[19 Jul 25 11:10 UTC] No.44614476[source]▶
I like the idea. I"m not able to understand how quaternions alone can be used to navigate through space without a position translation vector.

The uses cases in the docs for drone control and manipulating kinetic arms with multiple degrees of freedom look promising though.

What does SpinStep provide? - Is it a traversal framework for quaternions? - Or it is a constraint solver that computes a series of transformations to make each node in a scene comply with a final end state

If it can be used for translating nodes as well via quaternions I would be interested in implementing a formation coordinator for it.

If you have an idea of what quaternion transformation will help achieve in Ketu and what the end state looks like please do create an issue on the Repo. I'll see if I can implement it using the concepts in SpinStep.