China's DaxAI Qiji Robotic Horse Debuts at 2026 Humanoid Robot Games
2026-07-20 12:02
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en.Wedoany.com Reported - The 2026 World Humanoid Robot Games Energy Relay, China's third leg, was held at Sayram Lake in Xinjiang. DaxAI, a leading robotics company, unveiled its new consumer-grade product—the DaxAI Qiji All-Terrain Intelligent Riding Robotic Horse. During challenging segments such as all-terrain traversal and dynamic load balancing, the product demonstrated biomimetic locomotion performance, terrain adaptability, and riding stability, showcasing the practical capabilities of domestically produced embodied intelligent equipment. According to DaxAI, within one hour of the new product launch event, over 3,000 users had pre-ordered the DaxAI Qiji All-Terrain Intelligent Riding Robotic Horse on JD.com.

The Qiji series is equipped with DaxAI's self-developed "DaxBrain-WM (Dualis)" world model, based on a dual-engine technology system of "embodied world model + universal ontology," designed to adapt to various terrains. The product integrates three self-developed systems: adaptive biomimetic gait control, global dynamic self-balancing, and high-voltage power synergy, and features a 1400Nm ultra-high torque joint actuator unit. The Qiji X1 all-terrain quadruped robotic horse adopts a purely biomimetic four-legged structure, with a total weight of 300 kg, a range of 40 km, and a maximum speed of 10 km/h. By independently adjusting the landing angle and depth of each limb, it is suitable for unpaved terrains such as steep slopes, gravel, and mud, making it ideal for immersive mountain off-roading and short-distance commuting in high-end estates.

The Qiji XS high-speed wheeled-legged robotic horse features a wheel-leg composite structure, with a total weight of 320 kg, a range of 100 km, and a maximum speed of 40 km/h. It can switch operating modes based on terrain conditions, enabling seamless transitions between wheeled cruising on flat ground and legged off-roading on complex terrain. The DaxAI Qiji All-Terrain Intelligent Riding Robotic Horse comes standard with dual riding modes (mounted and alongside), 165V high-voltage fast charging, real-time riding data monitoring, and supports intelligent OTA continuous iterative upgrades. DaxAI stated that this is an end-side large-model quadruped intelligent mobility device targeting the mass consumer market.

Positioned as a "system-level" embodied intelligent infrastructure enterprise, DaxAI has completed hundreds of millions of yuan in financing within its first year of establishment. The latest funding round was led by renowned investor Zhu Xiaohu through GSR Ventures, with participation from multiple leading financial and industrial capital sources. The funds will be used for core model iteration, expansion of a 10,000-unit production line, and recruitment of top-tier talent. Founder and CEO Wang Kun has 12 years of experience in robotics and intelligent driving, while co-founder and CTO Xu Wenqiang has published over 50 papers in top conferences and journals and was selected for the 2025 Forbes China 30 Under 30 list. The team includes former core members of JD.com's autonomous driving division and PhDs from the University of Science and Technology of China's Special Class for the Gifted Young.

iiMedia Consulting awarded DaxAI the "Heavy-Duty Robotic Horse Category*." Its Qiji T1000 heavy-duty robotic horse has a maximum load capacity of 1,000 kg, ten times that of mainstream quadruped robots on the market, and can be used in scenarios such as pharmaceutical raw material transport, industrial park heavy logistics, and emergency special operations. In terms of commercialization, DaxAI has signed strategic cooperation agreements with Jianhui Information, Digital China, and Wuyu Wujiang, securing a total of 500 million yuan in annual orders, in addition to over 300 million yuan in existing orders, covering sectors such as pharmaceuticals, logistics, retail, and cultural tourism.

This appearance at the 2026 World Humanoid Robot Games marks a public showcase of DaxAI's consumer-grade products. Moving forward, the company will continue to leverage its "world model + universal ontology" dual-engine strategy to iterate core technologies, expand production capacity, and deepen industrial ecosystem collaboration.

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