What is embodied intelligence?

Embodied intelligence (also called physical AI) refers to AI systems that can perceive, reason about, and interact with the physical world through a body or embodiment, such as humanoid robots, robotic arms, and autonomous vehicles.

What are humanoid robots?

Humanoid robots are robots designed to resemble and mimic the human body form and movements. They are being developed for applications in manufacturing, healthcare, hospitality, and domestic assistance.

How is China leading embodied AI innovation?

China has become a global leader in embodied AI through massive government investment, rapid deployment of humanoid robots in manufacturing, breakthroughs in dexterous manipulation, and a growing ecosystem of startups like AGIBOT and StarDust Era.

What content does Embodied Global cover?

Embodied Global covers the latest news, research breakthroughs, funding rounds, product launches, and industry trends in embodied intelligence, humanoid robotics, and physical AI, with a focus on Chinese innovations translated into English, Spanish, and French.

How often is Embodied Global updated?

Embodied Global is updated daily with the latest news and developments in embodied intelligence. Articles are published in three languages simultaneously to reach a global audience.

FundingMay 5, 2026by Embodied Global

AWE 3.0 de Tashi Zhihang obtiene $455M, estableciendo nuevo récord de financiación en IA Encarnada

Funding Embodied AI Industrial Robotics AI Models AWE 3.0 Tashi Zhihang

Tashi Zhihang (它石智航) ha anunciado una financiación revolucionaria de $455 millones para su modelo nativo de IA encarnada AWE 3.0, marcando la ronda de financiación más grande en el sector de inteligencia encarnada de China.

Avance Técnico: Modelo Nativo AWE 3.0

AWE 3.0 representa el primer modelo base de IA encarnada nativo del mundo, logrando una alineación natural en tres modalidades centrales: percepción visual, comprensión del lenguaje y control del movimiento.

La capacidad integrada de Recuperación de Fallos permite a los robots predecir múltiples resultados futuros posibles y ajustar decisiones en tiempo real.