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 China International Artificial Intelligence Conference (CIAI) commenced in Shanghai, focusing on global AI industry development with the theme "Empowering AI+, Winning a Trillion Future" [1] - The conference gathered over 800 industry elites and emphasized the "AI+" action policy, addressing key topics of "computing power and algorithm breakthroughs" and "intelligent scene implementation" [1] - The launch of the new BehavisionPro spatial intelligence MaaS platform by Dr. Wu Bangyi highlighted the need for technological support to propel China's AI industry towards a trillion-scale market [1] Assets Segment - The BehavisionPro platform addresses the industry's core challenges of "perception inaccuracies, chaotic decision-making, and execution disconnection" through its "Assets-Behavior-Client" architecture [2] - The platform's multi-modal data system includes real machine task data, over one million 3D data points, complex spatial scene data, and a leading scale of 3D joint data, ensuring high compatibility with actual application needs [2] - Real machine task data is collected from actual robot operations, covering essential skills like grasping and pressing, while the 3D joint data significantly reduces the Sim2Real gap, allowing for efficient training in simulated environments [2] Behavior Engine - The "Behavior" segment of the BehavisionPro platform serves as the "temporal brain" for embodied intelligence, utilizing a self-developed large model for task planning and decision-making [3] - The platform enhances robots' logical reasoning and dynamic response capabilities in complex environments, optimizing task planning and execution mechanisms [3] - This development lays a solid foundation for the transition of embodied intelligence from experimental phases to industrial applications [3] Client Segment - The "Client" segment addresses the industry's pain points of incompatibility among different manufacturers' robots by providing a unified tool interface based on the Model Context Protocol (MCP) [4] - This interface allows developers to easily integrate and debug, facilitating efficient collaboration between simulation and real-world applications [4] - The platform can adapt to various robot forms, covering key scenarios in smart manufacturing, services, and education, significantly reducing development costs and time [4] Integrated Intelligent Architecture - BehavisionPro represents an integrated intelligent architecture that connects perception, decision-making, and execution, addressing industry bottlenecks such as data scarcity and lack of standardization [5] - The platform's core advantage lies in the collaborative development of the "brain" (decision system) and "cerebellum" (motion control and execution system) for embodied intelligence [5] Industry Impact - The presentation of BehavisionPro at CIAI 2025 showcases the technological advancements in the field of embodied intelligence, offering a comprehensive solution that integrates data, algorithms, and applications [6] - The unified intelligent foundation aims to bridge perception, decision-making, and execution, signaling that the "Android moment" for embodied intelligence is approaching [6]