Core Insights - The article emphasizes that autonomous driving is a key pathway to physical AI, as reiterated by NVIDIA's CEO Jensen Huang at CES 2026 [1] - Chinese pioneers in embodied intelligence, such as Dr. Chen Yilun of Itstone, have been exploring this connection for a longer time, highlighting the technical commonality between autonomous driving and embodied intelligence [1][3] Group 1: Technical Insights - Autonomous driving is considered a critical sub-task of embodied intelligence, representing the ability of agents to navigate in complex, dynamic physical environments [3] - The end-to-end systems in autonomous driving unify perception, decision-making, and planning, providing a fundamental framework for robots to understand and act in the physical world [3] - The demand for high-quality, real-world data in embodied intelligence is ten times greater than that of autonomous driving, which is essential for driving significant advancements in intelligence levels [3] Group 2: Data Innovations - Itstone has made innovative breakthroughs in data collection by proposing a "human-centric" paradigm, launching the world's first open-source multimodal dataset for embodied intelligence in December 2025 [4] - The "World In Your Hands" dataset enables unprecedented high-quality data for model training, significantly improving the success rate of robotic operations in chaotic environments from 8% to 60% [4] - The data collection suite developed by Itstone achieves centimeter-level motion capture precision and outputs high-density data streams, facilitating the collection of 1.8TB of data in just five hours by a single collector [5][6] Group 3: Strategic Implications - Itstone's comprehensive understanding of technology and engineering systems is driving the transition of embodied intelligence from laboratory settings to real-world applications [6] - This exploration is not only about advancing a single technology but also represents a significant step towards achieving general physical AI [6]