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arXiv Robotics — research abstracts· Naitri Rajyaguru, Aryan Tajne, Stephen Jardim, Cornelia Fermuller, Yiannis Aloimonos·· 4 days agoEditorial score66

RingNav: Task-Shaped Circular Memory for Visual Heading

RingNav: Task-Shaped Circular Memory for Visual Heading

Summary

It reduces mean absolute turn error by 27% and accumulated heading error by 15% on the TartanAir Visual SLAM Challenge. RingNav operates at 27.3Hz on Raspberry Pi Zero 2W and can be deployed on ultra-low power GAP8 processors at 33.4Hz.

Source: arXiv Robotics — research abstracts · Read original article ↗

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What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • number of parameters

    10.6

    View original evidence
    arXiv:2610.19044v1 Announce Type: new Abstract: Tiny robots have limited computation and memory, yet visual navigation systems often maintain more state than a task requires. We ask whether persistent memory can instead be shaped by the task. We present \textbf{RingNav}, a \(10.6\)k--parameter visual heading estimator that constrains its memory to the circular manifold \(S^1\). RingNav learns only the turn between co
    Open source S2
  • paper: not_reported
  • code: not_reported
  • weights: not_reported
  • dataset: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

nsecutive images, while heading is composed directly on the circle. On the TartanAir Visual SLAM Challenge, RingNav reduces mean absolute turn error by \(27\%\) and accumulated heading error over $4$ sec by \(15\%\) relative to a similarly sized learned-memory model. The structured update also gives exactly zero turn for identical frames and exact cancellation under sequence reversal. Without fine-tuning, RingNav tra

Open source S3

nsfers to real-world drone experiments and continues estimating heading under severe visual degradation. RingNav runs at $27.3$Hz on Raspberry Pi Zero 2W and can be deployed on an ultra-low power GAP8 processor at $33.4$Hz.

Open source S4

arXiv:2610.19044v1 Announce Type: new Abstract: Tiny robots have limited computation and memory, yet visual navigation systems often maintain more state than a task requires. We ask whether persistent memory can instead be shaped by the task. We present \textbf{RingNav}, a \(10.6\)k--parameter visual heading estimator that constrains its memory to the circular manifold \(S^1\). RingNav learns only the turn between co

Open source S2

RingNav: Task-Shaped Circular Memory for Visual Heading

Open source S1

Source:arXiv Robotics — research abstracts · arxiv.org

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