群核科技唐睿：以3D高斯破解具身智能数据瓶颈

Core Insights - The core viewpoint of the article is that Qunke Technology is driving a technological revolution by utilizing Gaussian expressions to replace pixels, enabling immersive experiences in recorded spaces [1] Group 1: Product Development - Qunke Technology has launched the InteriorGS dataset, which includes 1,000 3D Gaussian semantic scenes covering over 80 types of indoor environments, aimed at enhancing spatial perception for robots and AI entities [1] - The dataset allows for the transformation of temporal and spatial records into accessible virtual spaces, enabling robots to interact and observe within these environments [1][2] Group 2: Technological Impact - The 3D Gaussian semantic dataset serves as a "virtual school" for robots, facilitating learning in spatial understanding, object recognition, and action decision-making through continuous interaction with virtual environments [2] - The integration of semantic information allows robots to understand the functional attributes of objects, significantly reducing the costs associated with downstream intelligent development [2] Group 3: Challenges and Solutions - There exists a "reality gap" in the collection and use of virtual data, which Qunke Technology addresses through a dual approach: enhancing simulation accuracy via computational power and algorithm iteration, and collaborating with academia and downstream enterprises to explore "virtual-real fusion" training strategies [3] - Qunke Technology positions itself as a "virtual textbook author" for robots, creating high-fidelity virtual scenes for cost-effective and efficient training, which can then be applied to physical devices by downstream teams [3]