A wind memory for odour source search in reversing wind
A wind memory for odour source search in reversing wind
This research paper introduces a 'wind memory' mechanism to improve odour source search strategies when wind direction reverses.
The study presents a simulation-based evaluation of a 'wind memory' mechanism for odour source search in reversing wind conditions, demonstrating improved success rates over baseline models in simulated scenarios but noting the approach functions as an add-on rather than a standalone searcher.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Environment
- SimulationOpen source S2
Reported numbers
cost points
5
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points (95% CI 6.6 to 15.4) and four other followers' by 6.0 to 10.1, but cost the moth model 5 points in steady wind. A fixed wind delay was not resolvably worse at insect scale, but in simulation rescaled to a legged robot's sensors and turn rate the gate beat the best delay for two followers, only one margin surviving Bonferroni correction. As the robot never ran the gate and a plain spiral searcher beat the gated
Open source S3trajectories
60
Reported trials
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arXiv:2610.20970v3 Announce Type: replace Abstract: After wind reversals, old odour arrives while the sensed wind points away from the source, so wind followers, which surge upwind, are misled. A hold gate stores the wind at first odour contact and feeds it to an unchanged follower while the live wind points over 90{\deg} away. On 60 random simulated reversing flows it raised a published moth model's success by 10.8
Open source S2
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
arXiv:2610.20970v3 Announce Type: replace Abstract: After wind reversals, old odour arrives while the sensed wind points away from the source, so wind followers, which surge upwind, are misled. A hold gate stores the wind at first odour contact and feeds it to an unchanged follower while the live wind points over 90{\deg} away. On 60 random simulated reversing flows it raised a published moth model's success by 10.8
Open source S2
points (95% CI 6.6 to 15.4) and four other followers' by 6.0 to 10.1, but cost the moth model 5 points in steady wind. A fixed wind delay was not resolvably worse at insect scale, but in simulation rescaled to a legged robot's sensors and turn rate the gate beat the best delay for two followers, only one margin surviving Bonferroni correction. As the robot never ran the gate and a plain spiral searcher beat the gated
Open source S3
Source：arXiv Robotics — research abstracts · arxiv.org