pith:GOJUNSBC
Optimizing Line Segment Inspection with Limited-Range Drones
The drone inspection problem for line segments is strongly NP-hard even with two drones on a straight line.
arxiv:2605.15765 v1 · 2026-05-15 · cs.CG · cs.DS · cs.RO · math.OC
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Record completeness
Claims
We are able to prove that this optimization problem is strongly NP-hard even when the segments are positioned on a line and the scenario involves only two drones.
The model assumes that battery limits force periodic returns to a single fixed base station and that the objective of minimizing makespan accurately reflects operational priorities without additional constraints such as wind, obstacles, or variable inspection times.
The authors prove strong NP-hardness for inspecting line segments on a line with two limited-range drones and propose approximation algorithms that achieve near-optimal makespan in experiments.
References
Receipt and verification
| First computed | 2026-05-20T00:01:17.072427Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
339346c8220c43b330fb2ce79461068c2816c6c1b6d02a127f842da41d9bfd25
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GOJUNSBCBRB3GMH3FTTZIYIGRQ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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