Core Viewpoint - The article emphasizes that autonomous driving is a key pathway to physical AI, a perspective reinforced by industry leaders like NVIDIA's CEO Jensen Huang and Dr. Chen Yilun, CEO of Itstone Intelligent Navigation [2][3]. Group 1: Technological Insights - Autonomous driving is identified as a critical sub-task of embodied intelligence, showcasing the ability of intelligent agents to navigate complex physical environments [3]. - The end-to-end systems in autonomous driving unify perception, decision-making, and planning, providing a foundational framework for robots to understand and act in the physical world [3]. - High-quality, large-scale data is essential for driving advancements in intelligence, with the demand for such data in embodied intelligence being ten times greater than that in autonomous driving [3]. Group 2: Data Innovation - Itstone has introduced a "Human-centric" data collection paradigm, launching the world's first open-source multimodal dataset, World In Your Hands (WIYH), in December 2025, aimed at enhancing model learning of human interactions in the physical world [5]. - The integration of Human-centric data has significantly improved robotic operation success rates in chaotic environments, increasing from 8% to 60% [5]. - The data collection suite developed by Itstone achieves centimeter-level motion capture precision and generates high-density data streams, enabling a single data collector to produce 1.8TB of data in just 5 hours [6]. Group 3: Strategic Development - Itstone's comprehensive understanding of technology and engineering systems is facilitating the transition of embodied intelligence from laboratory settings to real-world applications, marking a significant step towards general physical AI [8].

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]