Core Viewpoint - The core issue for the widespread adoption of robots across various industries is the challenge of "scene development difficulty" [1] Group 1: Introduction of the Workshop - The "JuShi Workshop" is a full-stack development platform launched by Shanghai JuShi Intelligent Technology Co., Ltd., designed to accelerate the industrial application of embodied intelligence technology [3] - Unlike traditional robot operating systems, the JuShi Workshop offers a comprehensive solution from scene recognition to deployment and operation, allowing developers to complete task orchestration without complex coding through graphical drag-and-drop and natural language commands [3] Group 2: Product Lines - The JuShi Workshop includes three main product lines: Industrial, Educational, and Maintenance, covering diverse application needs [4][5][6] - Industrial Version: Provides a complete solution for embodied intelligence research and production in industrial settings, integrating multiple software service platforms and hardware solutions [4] - Educational Version: Designed for the education sector, it includes theoretical and practical courses on embodied intelligence, along with development robots and a complete toolchain [5] - Maintenance Version: Offers a unified management platform for heterogeneous robots, supporting both hardware and software management as well as scene operation and adjustment [6] Group 3: Full-Link Solution - The core advantage of the JuShi Workshop lies in its full-link solution from scene recognition to deployment and operation, demonstrated through a series of steps including calibration, scene decomposition, skill development, process orchestration, and operation monitoring [7] - For example, in an industrial scene like "box moving," the process involves: 1. Calibration and Navigation: Ensuring high-precision operations through visual and movement calibration [7] 2. Scene Decomposition: Breaking down real industrial scenes into reusable "atomic skills" or "skill modules" [7] 3. Skill Development: Using VR technology to capture human actions for model training [8] 4. Process Orchestration and Debugging: Quickly assembling and scheduling atomic capabilities through a graphical interface [8] 5. Operation Monitoring: Real-time monitoring of robot clusters and predictive maintenance through the OMC platform [8] Group 4: Core Technological Innovations - Semantic Programming: Allows developers to describe tasks using natural language or graphical interfaces, which the system automatically converts into executable processes [9] - Semantic abstraction enables flexible operations rather than traditional programming [9] - The system can understand and parse natural language commands into executable sequences [9] - Graphical task orchestration significantly lowers the development threshold, enhancing efficiency [9] - Atomic Skills: Breaks down complex robot operations into standardized basic actions, facilitating skill reuse and combination [11] - The system has achieved 13 basic behaviors, allowing developers to select and combine different atomic skills to construct complex task flows [11] - Standardized interfaces enable skill adaptation and migration across different robots [13] Group 5: Future Outlook - The JuShi Workshop has been applied in various fields, promoting the transition of robots from "laboratory" to "production line" [14][15][16][17] - Industrial Manufacturing: Used in quality inspection, assembly, and material handling on factory production lines [14] - Smart Logistics: Applied in warehouse management and automated sorting [15] - Education and Research: Deployed in training labs for embodied intelligence research and future employment education [16] - Government and Enterprise Services: Supports emergency drills and skills training in various service centers [17] - Other Applications: Includes exhibition guidance and companionship services [18] - The company aims to create a "self-controllable" intelligent foundation for China's robotics industry, attracting more developers to explore innovative applications across various sectors [18]
具识工作坊正式发布:破解机器人场景开发难题
机器人大讲堂·2025-12-15 10:24