破解具身智能数据困境 大晓机器人发布“以人为中心”ACE具身研发范式

Core Insights - The embodied intelligence industry is facing a dual challenge of data gaps and deviations in research paths, with a significant disparity between the data requirements for intelligent driving and the current data volume in the embodied intelligence field [1] - The traditional research paradigm is deemed ineffective, as it either complicates human interaction or machine learning, leading to high data costs and inefficiencies [1] - To address these challenges, the company has launched the ACE embodied research paradigm and the open-source Awakening World Model 3.0, along with the embodied super brain module A1 [1][3] Group 1 - The ACE paradigm is centered around human-centric data collection, enabling the gathering of millions of hours of data without disrupting human activities, thus significantly increasing efficiency and reducing costs [3] - The Awakening World Model 3.0 integrates multi-modal understanding, generation, and prediction, allowing machines to comprehend physical laws and human behaviors, enhancing their cognitive capabilities [3][4] - The model is open-sourced to promote ecosystem development, allowing various enterprises to utilize its tools and contribute to a shared data pool [4] Group 2 - The embodied super brain module A1 addresses existing hardware limitations by providing 360-degree environmental coverage and enabling autonomous navigation in complex environments without pre-collected high-precision maps [5] - The A1 module is designed to be compatible with various quadruped robots and integrates with multiple industry applications, targeting sectors such as security, energy, and transportation [5] - The company plans to scale the deployment of A1-equipped robots in security inspections and urban governance in the short term, with a long-term vision of expanding into flexible industrial production lines and eventually into household applications [5]