Embodied AI

Faraday Future showcased its Embodied AI (EAI) vision, including the FF 91 and FX Super One, at UMEX 2026 in Abu Dhabi. The company aims to expand in the Middle East, engaging with government and industry partners on advanced mobility and robotics solutions. This participation highlights Faraday Future’s global expansion strategy and its focus on integrating EAI across its product line.

Faraday Future is targeting 2026 with a dual focus on electric vehicles and “Embodied AI” (EAI) robotics, planning to launch its robotics products in February 2026. Driven by rising labor costs and its AI-centric DNA, the company sees robotics as a complementary growth engine with lighter investment needs. Faraday Future also aims to expand its FX Super One EV pre-orders and market presence across ten U.S. states. Key 2026 goals include achieving positive gross margins on robots, accelerating EAI market entry, expanding EV reach, and securing capital, all while navigating pending regulatory certifications and a conditional $10 million investment from AIxC.

At CES, Las Vegas transformed into a hub for advanced humanoid robots, showcasing impressive dexterity in tasks from retail to gaming. Nvidia’s CEO highlighted how AI infrastructure is fueling this progress, with new models like Gr00t designed for robotic control and Cosmos for reasoning. While fictional robots have long captured imaginations, generative AI is now bridging the gap to reality. Major tech players are heavily investing in physical AI, with significant market potential projected. Despite impressive demos, widespread commercial deployment is still some way off, though companies are offering comprehensive development ecosystems to accelerate innovation. Early consumer models are emerging, alongside entertainment-focused bots, signaling a future of increasing human-robot integration.

Since AlphaGo’s victory, AI has permeated diverse aspects of life, from medical diagnostics to robotics. Embodied AI faces data scarcity and algorithmic limits, addressed by solutions like Nvidia’s Omniverse and Baidu AI Cloud’s data expertise. Baidu AI Cloud, a leader in AI public cloud, offers full-stack development tools like Qianfan and Baige, enabling innovations in robotics and gaming (NetEase Fuxi’s *Justice Mobile*). AIGC benefits from Baidu’s heterogeneous computing platform. The “cloud-intelligence integration” approach enables developers to focus on AI application refinement, mirroring the role of utilities in the Industrial Revolution.

Tencent’s Robotics X Lab and Futian Lab launched Tairos, a modular embodied AI open platform designed to advance robotics in China. Tairos uses large-scale AI models, offering a “plug-and-play” system with development tools and data services. The platform empowers robots to perceive, plan, and autonomously make decisions. Tairos includes multi-modal perception, planning, and perception-action joint models, improved by a cloud simulation environment and Tencent Games’ scene generation tech. Initial partners will help improve real-world applications of embodied AI tech through collaboration.

NetEase Lingdong launched “Lingjue,” the world’s first embodied AI model for excavator loading in open-pit mines, at WAIC. This model supports China’s intelligent mining goals and utilizes multimodal data-driven autonomous learning. “Lingjue” achieves 80% of human operator efficiency in harsh conditions and 70% unmanned operation. NetEase Lingdong also announced open-sourcing “Lingjue” dataset and a collaboration plan aiming for unmanned operations in 30 mines by 2027, extending its technology to other industries as well.

At ICRA in Atlanta, a Chinese company debuted its advanced tactile-sensing technology, DM-Tac W and DM-Hand1, attracting attention from experts. The sensors, featuring high-resolution visual-tactile capabilities, enable robots to perform complex tasks like adaptive grasping and handling fragile objects. Based on research from HKUST, the company’s innovation marks the first large-scale export of Chinese visual-tactile products.