Faraday Future and FF EAI Launch FF Nova Humanoid Robots and Developer RL Platform

On October 14, 2026, Faraday Future Intelligent Electric and FF EAI Robotics Ecosystem hosted a joint product launch event unveiling four major Physical AI hardware and developer solutions. Headlining the reveal was FF Nova, an embodied AI humanoid robot engineered for research labs and engineering developers, alongside the compact FF Nova Mini for educational institutions, the Nova Developer Reinforcement Learning Platform, and the modular EAI Education Ecosystem Brain and Curriculum Skills 2.0 framework.

FF Nova and Nova Mini: Bipedal Hardware for Labs and Classrooms

Tailored specifically to accelerate real-world robotics research, FF Nova is an embodied bipedal humanoid platform featuring high-torque joint actuators, integrated stereo vision, and 3D spatial LiDAR navigation. Unlike industrial assembly-line robots, Nova is designed as an open research workbench for universities and autonomous software developers. Alongside it, the company introduced FF Nova Mini, a scaled-down humanoid robot engineered for computer science classrooms and STEM programs, lowering the hardware cost threshold for students training embodied sensorimotor policies.

Robotics Hardware & Educational Highlights

• FF Nova Humanoid: Open-architecture developer humanoid robot optimized for reinforcement learning, gait adaptation, and dexterous grasping.
• FF Nova Mini Classroom Model: Compact, durable bipedal robot built for university robotics laboratories and secondary STEM education.
• High-Torque Joint Actuation: Precision electric actuators delivering agile bipedal balance and multi-axis arm dexterity.
• Spatial SLAM Perception: Integrated depth sensors, wide-angle tracking cameras, and onboard neural edge inferencing.
• EAI Curriculum Skills 2.0: Modular software library providing pre-trained motor skills and kinematics libraries for physical interaction.

Developer Reinforcement Learning Platform and Ecosystem Consolidation

To bridge virtual simulation with physical robot execution, the launch debuted the FF Nova Developer Reinforcement Learning Platform. The cloud-native environment provides developers with physics-accurate digital twin simulations, automated domain randomization, and teleoperation interfaces to train neural network policies in simulation before deploying them directly onto Nova hardware. In parallel, FF EAI Robotics Ecosystem executed definitive agreements to acquire Faraday Future complete robotics business at an agreed $200 million valuation, establishing a dedicated public vehicle for embodied intelligence.

Product Profile Sheet