Core Insights - The current technological routes in embodied intelligence, particularly the VLA model, have significant flaws in understanding the physical world and its laws [4][11] - Many companies are developing embodiments, but there is a lack of products that can truly understand the world and solve real problems [5] - In 2025, the domestic market is expected to see a surge in instant retail warehousing applications, which require 24/7 service, presenting an opportunity for robots to excel [5] Group 1: Company Strategy - The CEO of DaXiao Robotics, Wang Xiaogang, emphasizes a restrained approach by not entering the crowded embodiment market or betting on VLA, but instead focusing on the world model as a consensus direction in the industry [6][8] - DaXiao Robotics aims to integrate soft and hard solutions, addressing the shortcomings of existing technology routes, particularly the VLA model, which does not require a true understanding of the physical world [11][12] - The company’s world model consists of three parts: multi-modal understanding, long-term dynamic interaction scenes, and predictive capabilities, which are essential for the core of their technology [13] Group 2: Market Position and Opportunities - The industry is still maturing, and the head positioning has not been completed, with significant opportunities for new startups due to existing technological flaws [17] - The company sees a unique opportunity in the integration of hardware and software, leveraging its extensive client base from previous years to achieve rapid scaling in the robotics field [18] - Short-term goals include deploying four-legged robotic dogs with navigation and AI capabilities, while mid-term focus will be on commercial service scenarios like flash purchase warehouses [19] Group 3: Technological Differentiation - The ACE research paradigm proposed by DaXiao Robotics is seen as a revolutionary change that could provide a competitive edge in the market [18] - The world model approach is believed to be more adaptable and capable of covering a wider range of scenarios compared to VLA, which is limited by its embodiment [21] - The company plans to open-source its model to gather diverse feedback and data, differentiating its development path from other countries [22]