全球下载前列！天娱数科以高质量3D铰接数据集，破解机器人“行动智能”核心难题

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]