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Catalog-style humanoid robot actuator sourcing for prototypes, pilot builds, and OEM programs.

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[email protected]

Subject: Product Selection Inquiry - Humanoid Robot Actuators

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This inquiry starts from the catalog. Use the RFQ center to turn a broad shortlist into a candidate RFQ class, document request, and sample validation gate.

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+8618857971991

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Best for quick model-fit questions before a full RFQ email.

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Force-Control Actuator Selection

Selection support for humanoid actuators where torque sensing, compliance, backdrivability, low ratio design, and controller bandwidth drive the buying decision.

Target Buyer:For robotics engineers who care more about controllable interaction than simply buying the highest-ratio gearbox.
Start solution RFQCompare product classes
Force-control humanoid actuator reference module

Reference visual for selection context. Confirm controlled drawings, CAD path, and test records for shortlisted models.

Engineering Asset Status

Reference visuals, controlled records on request

Current site images are reference selection visuals for catalog navigation. They should not be treated as final factory photos, CAD drawings, test records, or lot-specific inspection documents. For shortlisted models, request the controlled packet tied to model code, drawing revision, test condition, and sample lot.

Request validation records

Public now

Reference visuals, product-family routes, RFQ class matrices, and validation checklists for early selection.

Request before PO

Controlled datasheet, drawing or CAD path, torque-speed or thermal record, wiring notes, and sample or OQC evidence.

Not claimed publicly

Verified factory-floor photos, teardown images, and lot-specific test reports are not presented as public evidence until real project assets exist.

Solution Highlights

  • QDD and low-ratio actuator comparison for compliant robotics
  • Encoder, current control, and driver bandwidth review
  • Risk notes for teams moving from simulation to physical force control

Common Use Cases

  • Whole-body control experiments
  • Force-controlled legs and arms
  • Compliant manipulation platforms

Implementation Focus

  • Backdrivability, reflected inertia, torque constant, and reduction ratio
  • Driver current loop, encoder feedback, and controller protocol latency
  • Thermal derating during dynamic torque-control experiments

Application Evaluation Matrix

Control bandwidth

Typical Range
System dependent
Buyer Relevance
Force-control quality depends on the actuator, driver, encoder, and robot controller together.
Evaluation MetricTypical RangeBuyer Relevance
Control bandwidthSystem dependentForce-control quality depends on the actuator, driver, encoder, and robot controller together.

Application Validation Evidence Map

This map turns the solution context into concrete document requests. Use it to decide which records, interface details, and sample checks should be available before moving from shortlist to PO, sample testing, or pilot planning.

Backdrivability and reflected inertia

Buyer Risk
A high-ratio or high-friction actuator undermines force-control experiments despite meeting torque targets.
Documents to Request
Reduction ratio, motor constant assumption, rotor inertia note, friction/backdrive guidance, and QDD option boundary.
Test Record
Low-speed smoothness note, backdrive feel check, or torque-ripple observation from the candidate sample.
Interface Input
Control objective, desired compliance, torque range, speed range, and benchmark actuator if available.
Go / No-Go Signal
The architecture can support the intended interaction behavior before detailed mechanical customization.

Feedback and current-loop behavior

Buyer Risk
The mechanical actuator is selected without enough driver, encoder, or protocol evidence for control tests.
Documents to Request
Encoder option, torque or current feedback note, driver current-loop assumption, protocol latency boundary, and firmware revision.
Test Record
Encoder readout check, current-limit behavior, and bench communication note for the matched driver.
Interface Input
Controller type, bus voltage, communication protocol, loop frequency target, and required feedback signals.
Go / No-Go Signal
The buyer can run the force-control experiment with a known driver and feedback boundary.

Thermal derating during dynamic torque control

Buyer Risk
Repeated torque-control experiments drive heat beyond the safe operating envelope.
Documents to Request
Continuous and peak current assumption, thermal path note, derating guidance, and protection setting boundary.
Test Record
Temperature-rise note under comparable current demand or a supplier-defined thermal acceptance test.
Interface Input
Duty cycle, current profile, mounting heat path, ambient temperature, and expected test duration.
Go / No-Go Signal
The force-control validation plan includes current and temperature limits that can be enforced on the bench.
Validation FocusBuyer RiskDocuments to RequestTest RecordInterface InputGo / No-Go Signal
Backdrivability and reflected inertiaA high-ratio or high-friction actuator undermines force-control experiments despite meeting torque targets.Reduction ratio, motor constant assumption, rotor inertia note, friction/backdrive guidance, and QDD option boundary.Low-speed smoothness note, backdrive feel check, or torque-ripple observation from the candidate sample.Control objective, desired compliance, torque range, speed range, and benchmark actuator if available.The architecture can support the intended interaction behavior before detailed mechanical customization.
Feedback and current-loop behaviorThe mechanical actuator is selected without enough driver, encoder, or protocol evidence for control tests.Encoder option, torque or current feedback note, driver current-loop assumption, protocol latency boundary, and firmware revision.Encoder readout check, current-limit behavior, and bench communication note for the matched driver.Controller type, bus voltage, communication protocol, loop frequency target, and required feedback signals.The buyer can run the force-control experiment with a known driver and feedback boundary.
Thermal derating during dynamic torque controlRepeated torque-control experiments drive heat beyond the safe operating envelope.Continuous and peak current assumption, thermal path note, derating guidance, and protection setting boundary.Temperature-rise note under comparable current demand or a supplier-defined thermal acceptance test.Duty cycle, current profile, mounting heat path, ambient temperature, and expected test duration.The force-control validation plan includes current and temperature limits that can be enforced on the bench.
Request validation documents

Related RFQ Classes

These standard classes give buyer teams a practical starting point for samples, fixture planning, and engineering quotation scope before custom interfaces are frozen.

HRA-C40-QDD

Compact QDD joint class

Product Family
Humanoid Robot Actuator Catalog

Wrist, neck, light ankle, compact lab axis

Output Window

<50 Nm class

2-4 Nm continuous

8-14 Nm peak

180-320 rpm output class

Integration Focus

CAN / CAN FD / PWM options

Absolute magnetic encoder

Optional holding brake

Validation Gate

Fast sample shortlist

Backdrivability, low-speed smoothness, current limit, and cable exit.

HRA-FTM76-O

76 mm frameless outrunner class

Product Family
Humanoid Robot Actuator Catalog

QDD wrist, ankle-light, shoulder-light, custom reducer input

Output Window

<50 Nm class

2.5-8 Nm continuous

10-28 Nm peak

KV and winding dependent

Integration Focus

Matched by driver

Encoder selected by housing design

External brake if required

Validation Gate

Motor-core shortlist after OD/ID review

Thermal path, winding, rotor inertia, magnet retention, and encoder space.

HRA-LA32-ROLLER

Compact roller-screw actuator class

Product Family
Humanoid Robot Actuator Catalog

High-force linkage, test fixture, compact humanoid axis

Output Window

50-150 Nm class

0.8-2.5 kN force

3-5 kN short duration

20-100 mm stroke class

Integration Focus

CAN / RS485 / driver dependent

Encoder or linear feedback option

Holding force and backdrive review

Validation Gate

Load case and fixture review required

Force at speed, axial stiffness, side load, lubrication, and life-cycle duty.

HRA-AF80-SMC

Axial-flux SMC prototype class

Product Family
Humanoid Robot Actuator Catalog

Hip-light, knee R&D, compact high-torque demonstrator

Output Window

50-150 Nm class

Project-specific torque target

Project-specific overload target

Magnetic design dependent

Integration Focus

Matched by inverter and test plan

Resolver or absolute encoder review

External brake if required

Validation Gate

Concept review before tooling commitment

SMC grade, loss model, cooling path, torque density, and manufacturable core geometry.

RFQ ClassProduct FamilyOutput WindowIntegration FocusValidation Gate

HRA-C40-QDD

Compact QDD joint class

Humanoid Robot Actuator Catalog

Wrist, neck, light ankle, compact lab axis

<50 Nm class

2-4 Nm continuous

8-14 Nm peak

180-320 rpm output class

CAN / CAN FD / PWM options

Absolute magnetic encoder

Optional holding brake

Fast sample shortlist

Backdrivability, low-speed smoothness, current limit, and cable exit.

HRA-FTM76-O

76 mm frameless outrunner class

Humanoid Robot Actuator Catalog

QDD wrist, ankle-light, shoulder-light, custom reducer input

<50 Nm class

2.5-8 Nm continuous

10-28 Nm peak

KV and winding dependent

Matched by driver

Encoder selected by housing design

External brake if required

Motor-core shortlist after OD/ID review

Thermal path, winding, rotor inertia, magnet retention, and encoder space.

HRA-LA32-ROLLER

Compact roller-screw actuator class

Humanoid Robot Actuator Catalog

High-force linkage, test fixture, compact humanoid axis

50-150 Nm class

0.8-2.5 kN force

3-5 kN short duration

20-100 mm stroke class

CAN / RS485 / driver dependent

Encoder or linear feedback option

Holding force and backdrive review

Load case and fixture review required

Force at speed, axial stiffness, side load, lubrication, and life-cycle duty.

HRA-AF80-SMC

Axial-flux SMC prototype class

Humanoid Robot Actuator Catalog

Hip-light, knee R&D, compact high-torque demonstrator

50-150 Nm class

Project-specific torque target

Project-specific overload target

Magnetic design dependent

Matched by inverter and test plan

Resolver or absolute encoder review

External brake if required

Concept review before tooling commitment

SMC grade, loss model, cooling path, torque density, and manufacturable core geometry.

RFQ Preparation Checklist

  1. Control objective and benchmark actuator if available
  2. Torque, speed, bandwidth, and allowed reflected inertia
  3. Encoder and torque feedback requirement
  4. Driver, bus voltage, and protocol constraints

Risk and Mitigation

  • Mechanical actuator is selected without control-loop evidence: Evaluate driver current loop, encoder data, protocol timing, and software support before sample approval.

Recommended Products

QDD actuator reference for compliant humanoid joints
Reference visual: QDD actuator reference for compliant humanoid joints
Servo driver board for torque-control actuator selection
Reference visual: Servo driver board for torque-control actuator selection

Buyer FAQ

Is QDD always better for force control?

Not always. QDD is useful for backdrivability and compliance, but the best choice depends on torque, speed, stiffness, controller bandwidth, and safety goals.

Procurement guide

Read Before Locking the Application Validation Plan

Use the procurement guide when this solution context needs joint mapping, load-case evidence, sample timing, and buyer-side validation gates before supplier review.

Open guide
Sourcing Humanoid Robot Actuators in 2026

A buyer-side guide for pre-modular humanoid actuator sourcing: selection risk, evidence requests, sample readiness, and pilot supply controls.

Use it to check
  • Joint-by-joint load cases and prototype risk notes
  • Application evidence that should exist before sample PO
  • Decision gates for shortlist, sample test, and pilot planning

Next sourcing step

02 Application validation

Then prepare OEM sample execution

After the application risk is mapped, move accepted load cases into sample quantity, controlled-document purpose, revision baseline, and pilot handoff planning.

Open OEM sample pathSend prototype context

Related Resources

  • QDD Humanoid Robot Actuators
  • Contact / RFQ

Inquiry Email

[email protected]

Subject: Solution Inquiry - Force-Control Actuator Selection

Email app

This inquiry started from an application page. Keep the request anchored to the robot scenario, validation risk, and candidate actuator path. Source context: Force-Control Actuator Selection.

Instant Chat

+8618857971991

Chat on WhatsApp

Best for quick model-fit questions before a full RFQ email.