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184 points mikhael | 1 comments | | HN request time: 0.001s | source
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voxleone ◴[] No.45661522[source]
Quaternion libraries have work to do now.

Positive potential:

Simplified “undo” mechanism: this result suggests that a given traversal (sequence of rotations) might be “reset” (i.e., returned to origin) using a simpler method than computing a full inverse sequence. That could simplify any functionality in libraries, like SpinStep[0], that deal with “returning to base orientation” or “undoing steps.”

The libraries could include a method: given a sequence of quaternion steps that moved from orientation A to orientation B, compute a scale factor λ and then apply that scaled sequence twice to go from B back to A (or A to A). This offers a deterministic “reset” style operation which may be efficient.

Orientation‐graph algorithms: in libraries used in robotics/spatial AI, the ability to reliably reset orientation (even after complex sequences) might enhance reliability of traversal or recovery in systems that might drift or go off‐course.

[0] https://github.com/VoxleOne/SpinStep

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1. wizzwizz4 ◴[] No.45674767[source]
Please don't use ChatGPT to advertise your GitHub repositories. As other commenters have noted, this comment doesn't really make sense: it's not a good contribution to the discussion, and it's spam.