诺亦腾机器人戴若犁：跳出遥操作，构建以人为中心的数据路径丨GAIR 2025

Core Viewpoint - The article emphasizes the importance of high-quality data in the development of embodied intelligence within the robotics industry, highlighting Noitom Robotics as a key player in providing data solutions through motion capture technology [1][3]. Group 1: Company Overview - Noitom Robotics is recognized as the only company in China that explicitly focuses on "data" as a delivery interface, leveraging its expertise in motion capture technology to support robotics data needs [1][3]. - The company has served around 60 to 70 different robotics and model companies, covering the entire pipeline of embodied intelligence data, including remote operation and human-centric data collection [3][5]. - Noitom Robotics has achieved a global market share leading position, generating annual revenues in the hundreds of millions, with a significant growth rate of 5 to 6 times in 2024 compared to previous years [5][6]. Group 2: Industry Insights - The demand for high-quality data in the robotics sector has surged, driven by the realization that humanoid robots represent an optimal solution for various applications [6][10]. - Companies are increasingly seeking three main resources: equipment, projects, and data, with a notable shift towards requesting larger volumes of data, moving from thousands to tens of thousands of hours [10][11]. - The article discusses the structural challenges of remote operation data, emphasizing its importance but also its limitations in terms of cross-body capabilities and cost efficiency [18][21]. Group 3: Data Acquisition Strategies - The industry is shifting towards a human-centric data acquisition approach, moving away from being tightly bound to specific robot bodies, and instead focusing on capturing comprehensive data directly from human actions [24][25]. - Noitom Robotics has established data factories in both domestic and international locations to collect high-quality data, emphasizing that remote operation data should not be the primary focus for data accumulation [25][29]. - The company categorizes data collection into two main types: in-the-factory and in-the-wild, each with distinct characteristics and requirements for data quality and precision [29][33]. Group 4: Future Directions - The article suggests that the future of data acquisition in robotics lies in achieving ultra-high precision and multi-modal data collection, which can significantly enhance the capabilities of robotic systems [24][34]. - It highlights the necessity of understanding the fundamental characteristics of different data layers to optimize data collection strategies and ensure effective mapping to robotic systems [33][34]. - Noitom Robotics positions itself not merely as a hardware or project company but as a data-centric organization, focusing on building valuable data sets for the industry [35].