pith:SVKSZ73S
DynoJEPP: Joint Estimation, Prediction and Planning in Dynamic Environments
A directed factor in factor graphs blocks prediction and planning feedback to keep state estimates clean during joint robot navigation.
arxiv:2605.12897 v1 · 2026-05-13 · cs.RO
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Record completeness
Claims
DynoJEPP introduces a novel directed factor that enforces directional information flow within the factor graph, preventing prediction and planning from corrupting state estimation.
That the directed factor can be formulated and integrated into the factor-graph optimizer such that it blocks unwanted feedback without introducing new instabilities or losing the advantages of joint estimation-prediction-planning.
DynoJEPP introduces directed factors in factor graphs to jointly optimize estimation, prediction, and planning while preventing feedback corruption that causes unsafe behavior in dynamic environments.
References
Receipt and verification
| First computed | 2026-05-18T03:09:10.829430Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
95552cff721183a43526ec55dbbbc4aedcab0de5cf91b7047bb05a18132ebb16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SVKSZ73SCGB2INJG5RK5XO6EV3 \
| 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: 95552cff721183a43526ec55dbbbc4aedcab0de5cf91b7047bb05a18132ebb16
Canonical record JSON
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