Core Event Overview
Faraday Future (FF) held its “919 FF EAI Robot ‘Quad-Core Intelligent’” launch event in the US on September 19, 2026, unveiling nine EAI robot variants across five models plus four industry productivity solutions. Key facts:
- Release date: September 19, 2026 (US time)
- New products: FF All-New Futurist, FF Master Mini (3 configs), FX Aegis Hyper/Mega/Classic Ultra-W
- Price range: $9,990–$129,900 (CNY ~67,000–926,000)
- Availability: Launched and delivered immediately
- Ecosystem openness: The ‘Quad-Core Intelligent’ open ecosystem is fully built, enabling third-party access to developer platform, robot bodies, solutions, and data factory
Product Portfolio & Technical Specs
The nine新品 cover three series: Futurist (flagman humanoid), Master Mini (education/competition humanoid), and Aegis ( wheeled-quadruped industrial). They span humanoid and quadruped forms.
FF All-New Futurist targets professional applications with 51 active degrees of freedom (up to 71 with upgraded dexterous hands), dual 1,152Wh batteries for 8 hours runtime, and 700 TOPS compute (Jetson Thor on Ultra). The Ultra version supports VLA, world models, and task planning. **Standard version costs $89,900; Ultra version reaches $129,900 (¥926,000)**—marking one of the most expensive embodied AI robots available to Chinese consumers.
FF Master Mini targets education and sports, standing 95cm and weighing 19.5kg. Three tiers (Mini/Pro/Ultra) offer 48/117/200 TOPS compute, with open interfaces for movement, perception, and application development. Priced from $9,990 (~¥67,000), it supports Blockly, Python, and ROS curriculum with competition frameworks.
FX Aegis series expands with three wheeled configurations: Aegis Hyper (large quadruped, $137,900), Aegis Mega (medium wheeled, $74,990, 50kg payload, 25cm stair climbing), and Aegis Classic Ultra-W (lightweight 22kg安防 robot, $12,990).
Key Model Comparison
| Model | Body Type | Compute | Max DOF/Load | Starting Price (USD) | Target Use |
|---|---|---|---|---|---|
| FF All-New Futurist Ultra | Humanoid | 700 TOPS | 71 DOF | $129,900 | Research/Enterprise/Industrial |
| FF All-New Futurist | Humanoid | Undisclosed | 51 DOF | $89,900 | Research/Embodied AI Dev |
| FF Master Mini Ultra | Humanoid | 200 TOPS | — | $17,990 | University/Competition |
| FF Master Mini Pro | Humanoid | 117 TOPS | — | $12,990 | Advanced Education |
| FF Master Mini | Humanoid | 48 TOPS | — | $9,990 | K-12 Intro |
| FX Aegis Classic Ultra-W | Wheeled | Undisclosed | 22kg body | $12,990 | Security/Patrol |
| FX Aegis Mega | Wheeled | Undisclosed | 50kg load | $74,990 | Industrial Inspection |
| FX Aegis Hyper | Quadruped | Undisclosed | Extreme env | $137,900 | Heavy-load/Hazardous |
| FX Aegis Classic | Wheeled | Undisclosed | — | — | Indoor Patrol (via solutions) |
Industry Solutions
FF launched four solutions: K-12 Education, Research, Security, and Inspection. The first two form the “EAI Robot Education Ecosystem v1.0”; the latter two target industrial and public sectors.
K-12 education integrates Master Mini with Navi/Aegis/Master/Futurist across grade levels, offering Blockly-to-ROS curriculum, competitions, and teacher training for private/public schools.
Research solutions use All-New Futurist as flagship, combining multiple body types with unified SDK, ROS APIs, simulation, and embodied AI training support.
Security uses tiered deployment: Aegis Classic for indoor, Aegis Mega for outdoor/high-risk; supports thermal imaging, 360° cameras, and LiDAR.
Inspection targets energy/power/mining/tunnels: Aegis Mega for routine园区 patrols, Aegis Hyper for hazardous zones, Faber for precision indoor tasks—equipped with PTZ, thermal, gas detection, and 3D scanning plus real-time reporting.
##落地建议 (落地建议 transliterated to English)
- Who should buy now: University robotics labs, AI research groups, competition teams (robotic soccer), industrial inspection services, and enterprises with high-risk作业 scenes.
- Budget-conscious buyers: Master Mini base model ($9,990) covers full educational套件 for ~¥67,000 institutions; research-grade needs require评估 Futurist Ultra for specific课题 like Sim-to-Real or embodied LLM training.
- Wait primero: Aegis Hyper/Mega lacks detailed post-sales and local support info—first-time industrial deployers should wait for early customer feedback or demo validation.
Final Notes
Jianyueting’s emphasis on “multi-body co-evolution” aligns with Fei-Fei Li’s views on multi-form ecosystems. As embodied AI shifts from single-body competition to ecological collaboration, the core advantage hinges not on hardware specs, but on ecosystem synergy and data feedback efficiency—potentially determining industry Winners and Losers.