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针对工业机器人实训教学中硬件设备成本高、维护难、安全性低等问题，提出基于Unreal Engine 5(UE5)的虚拟机械臂全流程开发方案。通过高精度物理模拟、逆向运动学控制与用户交互设计，实现了机械臂的实时操控与可视化仿真。实验结果表明，该系统在几何精度、运动精度、位置控制精度、交互实时性和物理真实感等方面均达到工业标准，验证了UE5在工业机器人仿真中的技术可行性，为构建低成本、高安全性的工业机器人实训教学平台提供了有效的参考方案。
Abstract：To address the challenges of high hardware costs, difficult maintenance, and safety concerns in industrial robotics training, this paper proposes a comprehensive virtual robotic arm development solution based on Unreal Engine 5(UE5). Through high-fidelity physical simulation, inverse kinematics control, and user interaction design, real-time manipulation and visual simulation of the robotic arm have been achieved.Experimental results demonstrate that the system meets industrial standards in geometric accuracy, motion precision, and interactive real-time performance, validating UE5's technical feasibility for industrial robot simulation. This solution provides an effective approach for constructing cost-effective and high-safety training platforms.
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基本信息:
DOI：10.20217/j.cnki.qyptxb.2025.06.005
中图分类号:TP242
引用信息:
[1]潘伟祥,潘丹.基于UE5的可操控虚拟机器人设计与实现——以机械臂为例[J].清远职业技术学院学报,2025,18(06):36-43.DOI:10.20217/j.cnki.qyptxb.2025.06.005.
基金信息:
教育部高等学校科学研究发展中心中国高校产学研创新基金——智创兴教专项课题“构建全场景全周期智能化实验实训管理系统的研究与实践”（2024ZC012）
2025-11-15
2025-11-15