Core Insights - The article discusses the challenges of acquiring high-quality data in the field of embodied intelligence, emphasizing the difficulties in data collection as a central issue [2] - It highlights the importance of various data sources, including teleoperation and motion capture systems, and the balance between precision and freedom in data collection [2] - The article outlines a roundtable discussion featuring industry experts to analyze the underlying logic, technical bottlenecks, and innovative solutions for data acquisition in embodied intelligence [2] Data Collection Challenges - High-quality embodied data is hard to find due to the inherent difficulties in data collection [2] - The article mentions the necessity of teleoperation as a core data source and the challenges faced in motion capture systems regarding precision and freedom [2] - It discusses the end-to-end data loop paradigm revealed by benchmark projects like ALOHA, and how various data types (internet video, synthetic data, and real robot data) can be integrated into a cohesive framework [2] Expert Contributions - The roundtable features notable guests, including: - Cui Hanqing, CEO of Beijing Moxianfei Technology Co., with a background in computer science and experience at Microsoft [3] - Feng Qian, co-founder and technical lead at Amio, with a PhD from the Technical University of Munich [4] - Ding Zhezhang, co-founder of AIO Intelligent, with a master's degree from Peking University [4] - Mu Shilong, CEO of Xspark AI, a young entrepreneur focusing on robotic dexterous manipulation [4] - Ding Yan, co-CTO of Luming Robotics, with prior experience at Yixing Robotics [5] Future Discussions - The article mentions a reaction segment that will cover recent hot topics, including 1X Technologies' "NEO" and Xiaopeng's IRON, indicating ongoing developments in the industry [22]