Robot model

eFlesh

eFlesh is an NYU open-source magnetic tactile sensor that embeds off-the-shelf magnets in 3D-printed cut-cell microstructures and reads contact forces with a…

Manufacturer: New York University
Form factor: other
Maturity: research
Lifecycle: active

The verified answer

As of Oct 2026, DEPLOY verifies eFlesh, a other by New York University (research). 3 sources back the record.

Overview

eFlesh is an NYU open-source magnetic tactile sensor that embeds off-the-shelf magnets in 3D-printed cut-cell microstructures and reads contact forces with a magnetometer board. Designed to be low-cost and customizable for robot hands, grippers, and feet in unstructured environments.

Verified vs. claimed

Maturity stage: research(Lab-stage only; no commercial or public deployment reported.)
Sources on file: View all sources →

No verified deployments on file. DEPLOY tracks independently-sourced deployment evidence separately from manufacturer capability claims.

Key facts

Open-source magnetic tactile skin; magnets <$5 (lab-stated)

Lab-stated (lab-stated; also GitHub): eFlesh uses tiled cut-cell microstructures with embedded magnets whose displacement is read by an underlying magnetometer. Open design tool converts convex OBJ/STL into printable STLs for hands, grippers, feet, and other form factors. Cap: research release; not a commercial robot product.

Data & sources

Web sources

3 sources backing this record.View all →

Pricing

No verified price is on record for eFlesh. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.

How DEPLOY tracks pricing

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Record createdOct 4, 2026
Added to the verified registry

Full change history →

Safety record

No incidents on record for eFlesh.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Sources (3)

https://e-flesh.com/ · 2026-10-04
https://github.com/notvenky/eFlesh · 2026-10-04
https://x.com/lukas_m_ziegler/status/2106668014670078000 · 2026-10-04

Common questions

What is eFlesh?

How much does eFlesh cost?

eFlesh's price is not publicly disclosed. DEPLOY has no verified price on record for eFlesh from New York University. Physical-AI systems like this are often sold through enterprise contracts or operated as a service rather than at a public list price; check the manufacturer for the latest.

Is eFlesh actually deployed in the real world?

eFlesh is at the research stage: it exists, but DEPLOY has no verified real-world deployment on record. Manufacturer capability claims should be read as claims pending independent verification.

Who makes eFlesh?

eFlesh is made by New York University, based in New York, New York, USA, founded in 1831.

Can you buy eFlesh?

eFlesh is at research stage and is not yet available for sale.

What are alternatives to eFlesh?

On the DEPLOY registry, comparable other robots to eFlesh include ASML EUV TwinScan, BrainOS, 10Beauty Manicure System, CleanSpark Bitcoin Mining Fleet.

How does eFlesh compare to ASML EUV TwinScan?

eFlesh and ASML EUV TwinScan (ASML Holding · 7 deployments) are both other robots on the DEPLOY registry. eFlesh has 0 verified deployments on record. Compare both records for specs, safety, deployments, and verified-vs-claimed autonomy.

What is eFlesh's maturity stage?

eFlesh is at the research stage on the DEPLOY maturity ladder (research, prototype, pilot, commercial, production). Research stage means active development without commercial deployments on file.

Where is eFlesh deployed?

No verified deployments of eFlesh are currently on the DEPLOY registry. DEPLOY records deployments only when verified at a named site with a primary source; absence may reflect pre-deployment, research, or manufacturer-internal use.

Is eFlesh safe?

eFlesh has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.

Methodology: Unreviewed · 3 sources (no primary) · last reviewed 2026-10-04

Verification posture

Unreviewed

Low confidence

Review state

Stable

Last reviewed 2026-10-04

Maturity + lifecycle

Maturity stage: research

Lifecycle: active

Architectural position

Cohort: other

Sources by quality tier

2: unclassified; Unclassified source
1: code-repository; Code repository

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.