Industrial Robots: Why They can both Replace and Augment Human Labor
Year: 2026
Type: article
Abstract: Since their emergence, industrial robots have advanced from mechanical‑replication devices toward human‑robot collaborative intelligent systems, driven by iterative progress in sensing and artificial‑intelligence technologies. This paper classifies their evolution into three phases: teaching‑reproduction, perception‑driven operation, and intelligent collaboration. It examines core technologies including robot sensing, machine vision, and force control, and clarifies how AI and human‑robot collaboration underpin flexible manufacturing. Based on industrial realities, three development trends are outlined: deep large‑model integration for autonomous decision‑making, expanded application scenarios enabled by flexible bionic mechanisms, and full‑production‑line collaboration via the Industrial Internet. Key industry challenges involve deficient core‑component technologies, high deployment costs for SMEs, interdisciplinary talent shortages, incomplete industrial standards, and ethical issues stemming from labor transformation. This study argues that smart‑manufacturing transformation emphasizes human‑machine complementary coordination rather than simple machine substitution of labor. These findings offer theoretical references for industrial‑robot R&D and standardized industry promotion.
Author: Suiyi Zhang
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7225757562
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