工业质检范式转变
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工业质检迎来具身智能时代 国产化进程加速
2 1 Shi Ji Jing Ji Bao Dao· 2025-08-20 17:15
Core Viewpoint - The launch of CASIVIBOT by Zhongke Huiyuan marks a significant shift in the industrial quality inspection paradigm, moving beyond traditional AOI methods to a more flexible and intelligent approach [1][3]. Group 1: Product Features - CASIVIBOT is designed to mimic human inspectors, understand defect nature, and evolve through group collaboration, representing a new generation of embodied intelligent agents [1]. - The robot utilizes a "hand-eye-brain" collaborative architecture, featuring a multi-spectral perception system with three camera groups for wide-field scanning and micron-level precision detection [1]. - The mechanical arm and interchangeable dexterous grippers allow for flexible movements, with trajectory planning algorithms enabling obstacle avoidance and path adjustment [1]. - The "Hui Brain" AI platform, developed by Zhongke Huiyuan, leverages extensive engineering inspection experience and a large database of defect samples, facilitating multi-modal fusion detection [1]. Group 2: Industry Context - Industrial quality inspection has long faced challenges of inefficiency and quality improvement, with traditional AOI technology becoming a bottleneck due to its fixed detection boundaries and long implementation cycles [2]. - The combination of AOI and robotics enhances efficiency and precision, where AOI handles large-scale screening and robots manage complex re-inspections, creating a synergistic effect that addresses the "last mile" inspection challenge [2]. - The industry is witnessing a new trend where machines replace human roles in quality inspection, with domestic manufacturers potentially achieving a competitive edge through AI-driven inspection solutions [2]. Group 3: Future Outlook - The future of industrial quality inspection is expected to be driven by embodied intelligent robots that can adapt to complex and variable industrial scenarios, with capabilities for rapid deployment and continuous evolution [3].