Core Viewpoint - The establishment of the "Junpu Intelligent - Zhiyuan Joint R&D Laboratory" aims to advance industrial AI from "perceptual intelligence" to "executive intelligence," focusing on developing a closed-loop ecosystem for toolchain development and scenario validation [1][5]. Group 1: Laboratory Objectives - The laboratory will focus on creating a universal underlying toolchain and algorithm platform for core industrial processes, addressing the complexities of basic actions like "grasping," "assembly," and "movement" [3]. - It aims to build a standardized toolchain that integrates software and hardware, facilitating rapid development and deployment of upper-layer applications [3]. Group 2: Data Acquisition and Model Training - The laboratory has established a complete closed-loop system for "scene building - data collection - model training - tool development" to tackle the challenge of acquiring high-quality industrial private data [3]. - Junpu Intelligent is actively building a physical data collection center to gather essential data for model training from real and simulated industrial environments [3]. Group 3: Strategic Collaboration - The collaboration between Zhiyuan Robotics and Junpu Intelligent combines Zhiyuan's expertise in AI large models with Junpu's 50 years of experience in intelligent manufacturing, creating a strategic synergy [5]. - The laboratory will focus on developing a universal toolchain for AI models, enabling quick training, adaptation, and deployment in new scenarios [5]. Group 4: Innovation and Flexibility - The laboratory's approach aims to overcome the limitations of traditional industrial automation, which has been constrained by insufficient flexible manufacturing capabilities and low hardware reuse rates [5]. - Future intelligent devices equipped with the laboratory's technological achievements will be able to adapt quickly to new tasks, significantly improving equipment utilization and reducing debugging cycles [5]. Group 5: Sustainable Development - The innovation center will serve as an open platform, continuously providing real industrial demands and data to the laboratory [5]. - The tools and data platforms developed by the laboratory will be made available to customers and partners, promoting self-extraction of data and model utilization, ultimately creating a sustainable closed-loop from technology development to commercial application [5].