LOS ANGELES, July 15 –Faraday Future Intelligent Electric Inc. (NASDAQ: FFAI) (“Faraday Future”, “FF” or the “Company”), a California-based global Embodied AI (EAI) ecosystem company, announced today that it began its second week of three flagship demonstration robotics summer camps. The Company has partnered with two major public-school districts in Los Angeles — Lynwood Unified School District and El Segundo Unified School District, where FF’s new headquarters is located — to host these EAI robotics summer camps. At the same time, FF has officially launched its summer camp collaboration with Triple I, a U.S. full-service education institution, providing support and enablement across products, technology, curriculum content, and the broader education ecosystem.
The FF summer program takes students from their first robot introduction to a live, autonomous system showcase in front of FF engineers and executives — all in a single week. And rather than working with toy kits or simulations alone, the students train on FF’s own robotics fleet: Navi, a customizable quadruped platform students build and personalize; Aegis, an industrial-grade quadruped capable of real torque and autonomous navigation; Master, a bipedal humanoid robot; and Futurist, the data platform that captures and trains on students’ own movements. By the end of the week, every student has programmed, driven, and debugged real hardware — not simulations.
The students participated in classroom-style educational sessions, where they learned about topics such as open-source platforms, programmability, pre-programmed commands, robotic attachments (e.g., robotic arms), the newest technologies: ROS2, C++, Python, and an introduction to FF’s robots. They also participated in interactive games related to programming robotics. The program is structured as a five-day progressional learning environment, with days split into segments that are broken out as follows:
Day One opens with safety training and a “meet the fleet” briefing before students dive into their first coding lesson — sense-think-act logic on the Aegis platform — and a 3D-modeling lab where they design and print their own robot components.
Day Two advances into autonomy: students refresh core robotics concepts, run an AI-vision search mission, learn the physics of torque through a hands-on lesson, and write their first “Ghost Track” in a fully autonomous, hard-coded robot path.
Day Three shifts to mechanical engineering fundamentals, including a robot-arm and seesaw challenge, a lesson on the center of mass, and an introduction to Python programming.
Day Four moves into humanoid robotics and applied AI: bipedal safety and control, kinematics, telemetry, machine learning, and even training a robot’s facial recognition and personality systems. A signature thread runs through every single day: a timed, scored robot racetrack challenge that each student runs twice per session.
By Day Five, students have accumulated a full week of their own performance data — and the closing day opens with a data-analytics lesson in which students calculate the mean, median, and variance of their own racetrack results, turning a week of friendly competition into a genuine statistics lesson. The week closes with an awards ceremony featuring remarks from FF’s leadership and other program leaders, the presentation of Certificates of Achievement, and a final racetrack award for the week’s top performers.
“This interactive FF robotics camp with local high school students at our HQ is designed to give students a credible, hands-on introduction to the field of autonomous robotics — not as an abstraction, but as a full week of real engineering work on real machines and provides us a window to hear firsthand feedback of our robotics strategy as it will relate to students and future curriculum,” said Chris Chen, Co-CEO of FF AI-Robotics at FF. “We believe that education will become the first major scenario in the initial phase of the consumer robotics market as we move aggressively to build out our EAI education ecosystem.”
FF views education as one of the most important early large-scale application scenarios for consumer and institutional EAI robotics. Through a dual-entry strategy serving both B2B education institutions and B2C family learning, the Company aims to connect classroom-based instruction, hands-on robotics practice, continued learning at home, and the development of the next generation of EAI creators.
The Company is actively advancing robots from product showcases into real education scenarios, helping K-12 students, universities, education institutions, and innovation communities engage with, understand, and apply AI and embodied intelligence at an earlier stage. By integrating EAI Robotics products with education activities, the Company aims to provide students with a more intuitive and participatory AI learning experience, helping the next generation of AI Natives develop engineering thinking, creativity, and interdisciplinary collaboration skills.