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Orca‑Hand V2 Full Analysis|Feetech Servos, Heart of Bionic Hand

Time:2026-08-13    Views:526


Full‑Dimensional Disassembly of the
Orca‑Hand V2 Dexterous Hand

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     When humanoid robots take smooth strides, lift hands for grasping, dance and bend over to perform human‑like bionic movements, the core that underpins all their agile postures lies not in the mainboard or batteries, but in the servos concealed inside every joint across the body. Servos serve as the power skeleton and motor nerve of humanoid robots. One robot contains no fewer than 16 axes, and advanced models have over 30 axes, all powered by servos. Thanks to its self‑developed closed‑loop servo technology, FEETECH bus servos have evolved into standard‑issue core hardware for university‑based research, commercial bionic robots and open‑source humanoid‑robot projects, re‑defining the joint standards for domestic‑made humanoid robots.

01

Why Does the Orca‑Hand V2 Fully Adopt Feetech Bus Servos as Standard Equipment?

       The human hand possesses over 20 degrees‑of‑freedom. Muscles drive the bones to complete flexion, extension, pinching and rotation. For a robotic dexterous hand, every finger and knuckle requires an independent drive unit to carry out bionic motions, and servos function as the miniature muscles and precision joints of robotic fingers. Overall performance hinges largely on servo capability. Feetech servos have been selected as the official hardware of choice, with the key advantages listed below:

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Orca‑Hand V2
Open‑source machine‑learning
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1. Ultra‑simplified Bus Wiring for Seamless Motion Coordination

Feetech bus servos support daisy‑chain connection via a single bus. The 17 joints are chained by one cable, perfectly fitting the compact inner space of the dexterous hand. Benefiting from high‑speed bus communication, multiple joints respond synchronously with low latency, enabling smooth and jitter‑free linkage of five fingers.

2. High‑precision Closed‑loop Control for AI‑oriented Research and Development

Equipped with 12‑bit high‑precision magnetic encoders, the servos feed back full‑dimensional operating data in real‑time and support position‑force dual‑closed‑loop control. Soft gentle grasping and accurate steady clamping can be realized. Well‑suited for cutting‑edge research scenarios including AI imitation learning, teleoperation and data acquisition, they outperform ordinary serial‑bus servos limited to angle‑only control.

3. High Durability and Stability for High‑frequency Experiments

The built‑in intelligent soft‑start‑stop algorithm buffers mechanical impact and protects tendons and gear assemblies. Multiple protection mechanisms against stall, over‑current and over‑heating together with wear‑resistant metal gears enable tens‑of‑thousands‑times cyclic grasping tests. The servos maintain stable long‑time continuous operation without step‑loss.

02

Three sets of hardware configurations are equipped with Feetech bus servos.

       To accommodate different research budgets and experimental requirements, Orca‑Hand V2 provides three complete assembly solutions built around Feetech servos. Its 17 degrees of freedom perfectly replicate the movements of human five‑fingers and the wrist:
✅ Version 1: 16 HL‑3915‑C001 finger‑drive servos + 1 HL‑3930‑C001 wrist servo + FE‑URT‑2 debugging board
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✅ Version 2: 16 HL‑2915‑C001 servos for driving the five‑finger joints, one HL‑3930‑C001 for wrist rotation and an FE‑URT‑2 upper‑computer debugging board

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✅ Version 3: 16 ST‑3215‑C001 high‑precision finger servos, one HL‑3930‑C001 wrist servo and the dedicated FE‑URT‑2 debugging board

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03

Feetech Servos Empower Orca‑Hand V2

  Orca‑Hand V2 adopts Feetech servos with serial‑bus communication, boasting an electronic resolution of 0.088° (360°/4096). All Feetech bus‑type servos are fitted with 12‑bit high‑precision magnetic encoders for real‑time feedback of six‑dimensional data. The measurable and adjustable parameters cover joint position, rotational speed, output current, load torque, supply voltage and servo temperature. When debugging Orca‑Hand V2, developers are able to monitor the clamping force of every finger in real‑time. They can tune settings for the gentle grasp of fragile objects and heavy‑duty gripping of loads, and conveniently carry out position‑torque dual closed‑loop control. The hardware is well‑matched for cutting‑edge research fields including robot reinforcement learning, teleoperation and tactile‑signal acquisition.
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