全模态数据闭环破局具身智能“粮荒”，零次方方案将机器人训练门槛拉至10万级

Core Insights - The report highlights that by 2024, China is expected to hold approximately 40% of the global robotics market, with an annual growth rate of 23%, increasing the market size from $47 billion in 2024 to $108 billion by 2028 [1] - A significant challenge in developing humanoid and embodied intelligent robots is the "data scarcity," where either the types of data are insufficient or the data collection processes are overly complex, leading to difficulties in precise assembly and manipulation tasks [1] - A recent survey indicated that 72% of R&D teams view the lack of multimodal data as the biggest bottleneck in practical applications [1] Data Collection and Management Solutions - The solution encompasses both hardware and software, creating a complete automated kitchen from "ingredient sourcing" to "delicious dishes," addressing issues like data modality deficiency and complex data management [2] - The starting price for this comprehensive solution is set at 99,000 yuan, significantly lowering the barriers for high-quality data acquisition, thus promoting the development of intelligent robotics [2] Technological Advancements - Current mainstream solutions include various multimodal fusion approaches, such as visual-joint integration and semantic-visual-joint models, which enhance task generalization but often lack mechanical feedback for physically interactive tasks [5] - The zero-point company's full-modal data architecture offers dual core advantages: compatibility across dimensions and sustained value through sensor redundancy, ensuring data can support future intelligent model developments [6] Hardware Development - The core hardware of the solution is the humanoid robot ZERITH-H1, designed specifically for data collection, embodying the "full-modal" architecture with a human-like structure and enhanced joint flexibility [7][10] - ZERITH-H1 integrates various sensors to capture complete modal information, addressing the common issue of data modality deficiency in intelligent model training [10] Software and User Experience - To simplify data collection, the zero-point company developed the ZERITH-VR APP, enabling seamless interaction between physical and virtual worlds, ensuring high-quality data collection with minimal latency [12][14] - A dedicated data management platform has been created to facilitate the entire data lifecycle, allowing users to efficiently convert raw data into usable training resources [17] Training and Deployment Tools - The solution integrates a powerful toolchain compatible with mainstream open-source algorithm frameworks, enabling rapid training and deployment of models [19] - The platform supports real-time monitoring and data visualization during the training process, enhancing the efficiency of model iterations [21][22] Future Outlook - The zero-point company's full-modal data solution addresses critical pain points in robotic training, providing a robust infrastructure for current and future embodied intelligent model development [23] - As demand for flexible robots in China's smart manufacturing sector surges, the ability to supply high-quality data will become a competitive differentiator [23]