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Open-source purpose-built robots

For a weeding robot with a cheap camera, is it better to treat weeds as it drives or to scout first and come back, and what does a weak sensor cost?

research/osrobot-field

For a weeding robot with a cheap camera, is it better to treat weeds as it drives or to scout first? Scouting then touring killed the same share (0.399 against 0.401 at 1 m/s) and was slower in all 23 paired rows; lane overlap repays a weak sensor (0.40 to 0.86 killed) at 3.5 times the time. Stylised, constants assumed.

7 tests

What it found

A stdlib simulation of a lane-following weeding robot on a 60×30 m field with clustered weeds, a motion-blurred noisy detector and muddy squares. Scouting then touring the targets kills the same share of weeds as treating inline (0.399 against 0.401 at 1 m/s) and is slower in all 23 paired rows, by 2.8 to 7.8 min. Lane overlap repays a weak sensor at a steep price: 0 to 0.75 overlap raises the kill share from 0.40 to 0.86 and the time from 52 to 178 min; no grid configuration reaches a 0.9 kill share at a 0.5 hit rate. Stylised: every constant is assumed, the speed results move with the blur assumption, and the planner comparison is a statement about this cost model.

A figure from its own output

Figure produced by research/osrobot-field: kill_vs_time
osrobot-field/experiments/kill_vs_time.svg, written by the project's own experiment code.

Paper, code and results

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Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.