智慧路網生成技術研究調查

工業 4.0 浪潮下，多車自動導引系統 (AGV/AMR) 已成為核心自動化技術之一，其整體運作效率與系統穩定性高度依賴底層「路網 (Roadmap)」的建構品質。傳統仰賴人工繪製與靜態規則設定的路網生成方式，已難以滿足多機協同與高度變動場域中的彈性需求。本文旨在系統性回顧並分析現行智慧路網生成技術的發展脈絡，涵蓋從人工建構至各類演算法自動生成的技術演進，重點探討初始路網建構、結構最佳化策略、模擬驗證技術，以及路網效能評估指標 (KPI) 的分類與應用。最後進一步剖析上述技術在提升生產效率、降低整體運營成本，以及強化產能調度彈性等層面之未來發展趨勢。

Under the wave of Industry 4.0, Automated Guided Vehicle/Autonomous Mobile Robot (AGV/AMR) have become a core component of intelligent automation. The overall operational efficiency and system stability of such systems largely depend on the quality of the underlying roadmap construction. Traditional approaches relying on manual drawing and static rules are increasingly inadequate for flexible coordination in dynamic and multi-agent environments. This article presents a systematic review and analysis of the development of smart roadmap generation technologies, covering the evolution from manual construction to algorithm-driven automation. Key topics include methods for initial roadmap construction, strategies for structure optimization, techniques for simulation-based validation, and the classification and application of roadmap performance indicators (KPIs). Finally, the study explores future trends of these technologies in enhancing productivity, reducing operational costs, and improving scheduling flexibility.