Core Viewpoint - The company has established a strong technological foundation and differentiated advantages in the field of spatial intelligence, particularly in AI 3D reconstruction [2] Group 1: Technology and Innovation - The company's core technologies include 3DGS, AR interaction, self-developed 3D engine, and industry-level model datasets, validated through vertical scene applications [2] - The self-developed FTE engine combines deep learning and Gaussian splashing algorithms to achieve high-precision environmental perception and dynamic modeling [2] - In industrial robotics, the company utilizes intelligent analysis of multi-angle images/videos for 3D reconstruction, generating interactive 3D scenes and providing AI algorithm support for robotic arm trajectory planning and obstacle avoidance training [2] Group 2: Simulation and Training - The self-developed AI 3D digital engine and simulation capabilities are the core underlying technologies of the company's spatial intelligence, featuring multi-physical field simulation capabilities to model complex environmental variables [2] - The virtual environment constructed by the engine supports millions of action iterations in robot training, significantly shortening the training cycle compared to traditional training methods [2]

Core Viewpoint - The company has established a strong technical foundation and differentiated advantages in the field of spatial intelligence, particularly in AI 3D reconstruction technology [2] Group 1: Technology and Capabilities - The company's core technologies cover 3DGS, AR interaction, self-developed 3D engine, and industry-level model datasets [2] - The self-developed FTE engine combines deep learning and Gaussian splashing algorithms to achieve high-precision environmental perception and dynamic modeling [2] - In industrial robot scenarios, the company utilizes intelligent analysis of multi-angle images/videos for 3D reconstruction, generating interactive 3D scenes and providing AI algorithm support for robotic arm trajectory planning and obstacle avoidance training [2] Group 2: Simulation and Training Efficiency - The self-developed AI 3D digital engine has multi-physical field simulation capabilities, allowing for the simulation of complex environmental variables [2] - The virtual environments constructed by the engine support millions of action iterations, significantly shortening training periods compared to traditional training methods [2]