Core Insights - High-quality 3D data is essential for advancing robotics from "perception intelligence" to "action intelligence" in the context of embodied intelligence [1] - The Behavision Pro platform, under Tianyu Shuke, has developed a comprehensive 3D articulated dataset that has gained global recognition for its consistency, physical accuracy, and interpretability [2][3] - The transition from static to dynamic 3D data represents a significant leap in data capabilities, positioning 3D data as a core competitive advantage in the industry [3] Group 1: Industry Context - The 3D data field has been historically dominated by static datasets like ModelNet and ShapeNet, but the need for dynamic, articulated object data has emerged as a critical breakthrough for research institutions [1] - Existing datasets like PartNet-Mobility and SAPIEN have attempted to introduce mobility concepts but still face limitations in scale, action consistency, and physical accuracy [1] Group 2: Behavision Pro Platform - Behavision Pro has accumulated over 1.5 million 3D data entries and 650,000 multimodal data entries, creating a rich dataset that supports various core tasks in robotics [2] - The dataset systematically defines the behavior logic of how to manipulate objects, moving beyond traditional 3D data that only describes what objects are [2] Group 3: Technological Advancements - The Behavision 3D articulated dataset bridges the gap between visual recognition and behavior generation, facilitating Real2Sim2Real closed-loop learning [3] - The platform's structured design and physical realism address the industry's bottleneck of scarce articulated data, providing a viable solution for current challenges [3] Group 4: Future Directions - Tianyu Shuke plans to increase investment in behavior-oriented 3D data assets, continuously optimizing and expanding the dataset to support the development of general embodied intelligence [3] - The company aims to collaborate with global research institutions and developers to enhance the industry's data infrastructure and accelerate the arrival of the embodied intelligence era [3]

Core Insights - The "2025 World Humanoid Robot Games" held in Beijing has sparked global interest in the development of humanoid robots, prompting deeper discussions on their evolution path [1] - The CEO of Tianyu Digital Technology (Dalian) Group Co., Ltd. emphasizes the importance of the synergy between the "big brain" and "small brain" technologies alongside the mechanical body for humanoid robot development [1] Group 1: Technological Evolution - The evolution of humanoid robot technology is categorized into three key stages: program-controlled demonstration stage (1.0), imitation stage based on large models (2.0), and intelligent stage based on massive 3D data (3.0) [1] - 3D data is identified as a critical resource for advancing humanoid robots to the 3.0 stage, enabling AI to better understand the physical world and perform advanced reasoning in three-dimensional scenarios [1] Group 2: Industry Challenges - Current challenges in the development of 3D datasets include high costs and complex processes for data acquisition and processing, as well as low standardization leading to poor compatibility and difficulties in sharing and reusing data [2] - The company is actively building a multi-dimensional data ecosystem to address these industry pain points, having established a 3D motion capture and multi-modal data collection base, acquiring 1.5 million 3D data points and 650,000 multi-modal data points [2] Group 3: Industrialization and Application - Collaborative development is deemed essential to overcome bottlenecks in the industrialization of humanoid robots, with a need for standardized platforms for algorithms, 3D data, testing, and talent cultivation [3] - Predictions indicate that humanoid robots will see accelerated deployment in various sectors, including industrial manufacturing, healthcare, and public safety, with specific applications such as assembly, surgical assistance, and emergency response [3] Group 4: Future Development - The company is developing an integrated embodied intelligence model machine that combines spatial intelligence, 3D data platforms, and cloud-edge computing to create a comprehensive development platform [4] - As embodied intelligence technology progresses from imitation to intelligent stages, the large-scale deployment of humanoid robots is anticipated, marking a significant shift in the human-machine relationship [4]