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FF Master (Faraday)

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Description

SUMMARY:

 

FF Master is Faraday Future’s compact humanoid robot, launched in February 2026 as part of its EAI Robot World ecosystem.It stands 131 cm tall, weighs 39 kg, and features 30 degrees of freedom including 7‑DoF arms and 5‑finger hands.

 

Designed for education, home interaction, and events, FF Master offers 2‑hour runtime, 9 kg payload, and cloud‑linked AI dialogue.

 

EDITORIAL:

 

FF Master represents Faraday Future’s entry into humanoid robotics, extending beyond electric vehicles into embodied AI.Its compact size and affordable pricing (~$19,990) make it accessible for schools, homes, and interactive venues.Unlike the larger FF Futurist, Master is positioned as a friendly, approachable humanoid for everyday environments, emphasizing learning, companionship, and communication.

 

CLASSIFICATION:

 

Type: Compact humanoid robot

 

Morphology: Head, torso, arms, legs

 

Locomotion: Bipedal walking (2 m/s)

 

Category: Humanoid (service/education class)

 

Conclusion: FF Master is a humanoid robot, optimized for education and home service, not heavy industry.

 

SPECIFICATIONS:

 

Dimensions & Build

 

Height: 131 cm

 

Weight: 39 kg

 

Materials: Aluminum alloy + ABS composite

 

Degrees of Freedom

 

Total DoF: 30

 

Arms: 7 DoF each

 

Hands: 5 fingers per hand

 

Mobility

 

Locomotion: Bipedal walking

 

Speed: 7.2 km/h (2 m/s)

 

Runtime: ~2 hours per charge

 

Manipulation

 

Payload: 9 kg

 

Tasks: Packing, folding, hosting, classroom interaction

 

Sensors

 

Vision: 3D LiDAR, stereo RGB cameras, RGB‑D camera, interactive RGB camera, rear RGB camera

 

Connectivity: Wi‑Fi, Bluetooth, 4G, 5G

 

Compute & AI

 

Processor: NVIDIA Jetson Orin NX (157 TOPS AI performance)

 

AI: Adaptive dialogue stack, supports 50 languages, OTA learning updates

 

Teleoperation: Mobile app + VR interface

 

Applications

 

Education (classroom assistant, homework help)

 

Home companion (elderly support, monitoring)

 

Events (interactive hosting, guidance)

 

Learning platform (skill packages for extended functions)

 

HAT IS NOT PUBLISHED:

 

Battery swap details

 

Torque per joint

 

IP rating

 

Image: @Josh_Quinonez

 

COMPANY SOURCE

 

https://youtu.be/HXaOYV4Je48?si=mqfxJnQIbpEVyDjx

 

NEWS & COVERAGE:

 

https://youtube.com/shorts/lEf676N6RA8?si=_PzLm2vFdMc4A6h1