pith:IAKM6TAV
From Gridworlds to Warehouses: Adapting Lightweight One-shot Multi-Agent Pathfinding for AGVs
Adapting MAPF for warehouse AGVs with motion constraints shows PIBT scales better than PP or LNS2 for large teams.
arxiv:2605.15799 v1 · 2026-05-15 · cs.MA · cs.RO
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Claims
Our experiments reveal that PP and LNS2 struggle to solve instances with many agents, while PIBT-based approaches achieve preferable scalability with increased solution cost.
The four listed constraints (straight motion only, multi-step rotations, acceleration/deceleration, and follower-collision prohibition) are assumed to be sufficient to close the main reality gaps for differential-drive AGVs while remaining tractable for discrete search.
Adapts PP, LNS2, PIBT and LaCAM to MAWPF with AGV motion constraints and shows PIBT variants scale better than PP or LNS2 at the cost of longer paths.
References
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| First computed | 2026-05-20T00:01:18.950447Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4014cf4c151900e2fac2b04b02d6c8fc22dd2f6a76f8f6db91906b19cac9550e
Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/IAKM6TAVDEAOF6WCWBFQFVWI7Q \
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Canonical record JSON
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