让机器人更好地“干活” 业界构建物理世界基础模型

Core Insights - The rapid development of embodied intelligence technology is highlighted by the increasing capabilities of robots in motion and control, shifting the focus from physical attributes to cognitive abilities [1] - The core mission of foundational models in embodied intelligence is to overcome generalization and universality bottlenecks, enabling robots to process unstructured, dynamic, and random tasks in real-time [1][2] - The competition in the next phase of embodied intelligence revolves around the construction of foundational models and the evolution capabilities of these models, driven by data, models, and computational power [1][2] Company Developments - The company "自变量" utilizes a world model mechanism for spatiotemporal state prediction and integrates visual causal reasoning to enhance the robot's ability to operate in unstructured environments [2] - "自变量" has developed various data collection devices, achieving data validation and model breakthroughs, and has established a data pipeline focused on model-driven processes to continuously generate high-quality data [2] - Recently, "自变量" completed a financing round of 1 billion yuan (approximately 140 million USD) in A++ funding [2] Industry Trends - The breakthroughs in foundational models of embodied intelligence are enabling robots to enter more fields, from industrial production to public services and smart agriculture [2] - As technology matures and the industrial ecosystem improves, robots are expected to become true "intelligent partners" in the physical world, enhancing the quality and efficiency of the real economy and improving public welfare [2]