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pith:65RFKOOA

pith:2026:65RFKOOAPIBRI2JACPTEH7WT5F
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Phantom Force: Injecting Adversarial Tactile Perceptions into Embodied Intelligence via EMI

Sze Yiu Chau, Youqian Zhang, Zirui Kong

Electromagnetic interference can create phantom forces in robot fingertip sensors by amplifying perceived magnitudes over nine times and deviating directions by 65 degrees.

arxiv:2605.13492 v1 · 2026-05-13 · cs.CR

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

a targeted signal injection can induce strong ``phantom forces'', amplifying perceived force magnitude by over 9× and deviating the inferred force direction by 65°

C2weakest assumption

That the EMI attack can be delivered in a targeted, practical manner on real robot hardware without triggering other detectable effects or existing mitigations.

C3one line summary

EMI on Hall-effect fingertip sensors induces phantom forces amplifying perceived magnitude over 9x and deviating direction by 65 degrees, disrupting tactile classification in robots.

References

3 extracted · 3 resolved · 0 Pith anchors

[1] NVIDIA. [n. d.].Isaac Sim. https://github.com/isaac-sim/IsaacSim
[2] 2006.How the Body Shapes the Way We Think: A New View of Intelligence 2006 · doi:10.7551/mitpress/3585.001.0001
[3] Yuchuang Tong, Haotian Liu, and Zhengtao Zhang. 2024. Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects.IEEE/CAA Journal of Automatica Sinica11, 2 (February 2024), 301–328. 2024 · doi:10.1109/jas.2023

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-18T02:44:41.154100Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f7625539c07a0314692013e643fed3e948e4d5fac464705db8e9185cc323622e

Aliases

arxiv: 2605.13492 · arxiv_version: 2605.13492v1 · doi: 10.48550/arxiv.2605.13492 · pith_short_12: 65RFKOOAPIBR · pith_short_16: 65RFKOOAPIBRI2JA · pith_short_8: 65RFKOOA
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/65RFKOOAPIBRI2JACPTEH7WT5F \
  | 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: f7625539c07a0314692013e643fed3e948e4d5fac464705db8e9185cc323622e
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CR",
    "submitted_at": "2026-05-13T13:16:44Z",
    "title_canon_sha256": "b72d530fafae45a4360114003b56aa5787cae75b48a064bc369dfd97e951e5c1"
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