領袖觀點｜經驗驅動的機器人時代：智慧製造的全球競局

在全球製造業加速邁向智慧化的過程中，機器人加工應用是下一階段智慧製造競爭的重要戰場。 相較於搬運、焊接與組裝等較成熟的自動化應用，研磨、拋光、去毛邊與表面處理等加工場景，長期受 限於工件變異及製程經驗，仍高度依賴資深技術人員進行品質管控。面對全球缺工、少量多樣製造與高 品質要求，如何將人工經驗轉化為可複製、可學習、可擴展的機器人系統能力，已成為產業升級的關鍵。 本文以機器人加工應用為核心，探討全球智慧製造競局、國際競爭者發展方向、臺灣在多樣化製造與跨 域人才上的定位，並說明赫侖股份有限公司如何以 HolonOS 與 HolonCloud 建構經驗驅動的機器人核心軟 體，透過多品牌機器人與感測整合、CAD / CAD-free 路徑生成，以及 In-process AI 品質檢測與製程學習， 推動機器人從固定程式執行者，走向能感知、決策、執行與持續學習的智慧製造夥伴。

As global manufacturing accelerates toward intelligent automation, robotic processing applications are becoming a critical arena in the next stage of smart manufacturing competition. Compared with mature automation tasks such as handling, welding, and assembly, grinding, polishing, deburring, and surface finishing remain highly dependent on skilled workers due to part variability, process complexity, and the difficulty of quality judgment. Under the pressure of labor shortages, high-mix low-volume production, and rising quality requirements, transforming human process experience into scalable and learnable robotic capabilities has become essential. This article focuses on robotic processing applications and discusses the global race in smart manufacturing, the direction of international competitors, and Taiwan’s opportunity based on manufacturing diversity and engineering talent. It further explains how Holon Robotics builds an experience-driven robotic software system through HolonOS and HolonCloud, integrating multi-brand robots and sensors, CAD / CAD-free path generation, and inprocess AI for quality inspection, process analysis, and continuous learning.