Best Hardware Competed in Embodied AI: Customized Humanoid Robots Accelerate Algorithm Training and Drive Innovation in Education

We have a partner specializing in artificial intelligence and embodied intelligence. By integrating its in-house developed products with technologies from Baidu, NVIDIA, and Huawei, the enterprise provides advanced GPU/NPU computing platforms, digital-twin robot simulations, and AI training environments for institutions of higher education.

In preparation for the RoboCom Developer Competition (RAICOM), the enterprise recognized our strengths in deep customization—including configuration adjustments, function simplification, and design optimization—supported by high-quality mass production and robust technical assistance. These capabilities aligned perfectly with their requirements.

Based on their design concepts, we customized 20 units of the X1-6, a dual 6-axis wheeled humanoid robot derived from our Mercury X1 platform with dual 7-axis robotic arms. Optimized for education and competition, the TuringStack X1 delivers stable performance while significantly reducing costs.

These robots were deployed in the RAICOM AI Robot Innovation Challenge, where students from over 20 high schools, 30 vocational schools, and 50 universities gained hands-on experience with humanoid robots. Outstanding teams received certificates, motivating participants and raising interest from embodied intelligence labs, many of which later adopted humanoid robots for algorithm research and learning.

Through this competition-driven adoption model, our partner now offers universities and labs a complete robotics education solution—combining hardware, case studies, operation manuals, and both online and offline training. This initiative effectively bridges educational needs and innovative technology, advancing embodied intelligence in education.