Linkerbot · Dexterous hands

Linker Hand L20 Lite dexterous hand

Ten active joints and ten passive ones: the passive joints let the fingers conform to an object instead of pinching it. 800 g, 80 N of grip, 25 kg of load — the model most teaching labs and demo builds should look at before they price an L20.

Full specification

ParameterValue
Active / passive DOF10 active + 10 passive joints
DriveHybrid — worm-gear and linkage
Weight800 g
Load25 kg
Five-finger grip force80 N
Thumb / four-finger fingertip force15 N / 15 N
Repeatability<±0.2 mm
Open / close time1.2 s
Thumb rotation range43° · four-finger bend 78°
SupplyDC 24 V ±10% · 0.2 A static, 3 A max
ControlCAN / RS-485

Source: Linkerbot official product and specification data for the Linker Hand range (2026). Figures verified November 2026 — confirm the exact variant against the datasheet issued with your order.

When this is the right choice

  • Passive joints are the feature. Ten of the twenty joints conform mechanically, so a grasp wraps an irregular object instead of fighting it.
  • 800 g and 80 N. More grip than the O6 at twice the mass, with far better object conformance.
  • Cheapest route to a 20-joint hand. The value model in the high-DOF half of the range.
  • Same SDK as every other Linker hand — a lab can start here and move up without retraining.

When it is the wrong choice

  • Precise in-hand manipulation. The ten passive joints are compliant, not controllable.
  • Fast cycles. 1.2 s full close is the slowest in the range; a pick cell needs L6 or O20.
  • Datasets that must distinguish every joint — a passive joint cannot report its own state.

Alternatives at a similar level

Quote this model

Model, quantity and destination is enough to start — we come back with price, availability and the datasheet.

Quoting for Linker Hand L20 Lite

One business day reply. Prefer email? [email protected].

Linker Hand L20 Lite FAQ

What do the 10 passive joints actually do?

They let each finger conform to the object: when it closes on an irregular part, the passive joints follow it instead of stopping at a programmed shape. That is why a 10-active hand can out-grasp a 16-active one on awkward objects.

Can I record the passive joints for a dataset?

They are not actuated or sensed as independent DOF in the control model, so the dataset sees the commanded joints. If per-joint ground truth matters, that is L20.

Is it good enough for a teaching lab?

That is what it is designed for: 20 joints, 800 g, SDK with ROS and URDF, at a price point that lets a lab buy two hands instead of one.

How long does it take to ship?

Confirmed per order at quotation.

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