pith:EJRNPUO6
PathPainter: Transferring the Generalization Ability of Image Generation Models to Embodied Navigation
Image generation models interpret natural language to create traversability masks on bird's-eye-view images for guiding robot navigation.
arxiv:2605.07496 v2 · 2026-05-08 · cs.RO
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Record completeness
Claims
This work demonstrates how the world-understanding capabilities of foundation models can be transferred to embodied navigation, enabling robots to benefit from the strong generalization ability of existing image generation models.
The image generation model can reliably interpret natural language intent and produce accurate traversability masks from BEV images that a conventional local motion planner can use successfully for long-range tasks.
PathPainter transfers image generation models to embodied navigation by generating traversability masks from BEV images and language instructions while using cross-view localization to reduce odometry drift.
Formal links
Receipt and verification
| First computed | 2026-06-08T01:04:06.895228Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2262d7d1de69e9b812ca6d6649b9cd8269c95d8d4cdf6d28b2e7dc85272b7363
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJRNPUO6NHU3QEWKNVTETOONQJ \
| 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())"
# expect: 2262d7d1de69e9b812ca6d6649b9cd8269c95d8d4cdf6d28b2e7dc85272b7363
Canonical record JSON
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