智能制造中的机器人编程与离线仿真技术研究
摘要
随着制造业向智能化转型，机器人编程与离线仿真技术成为提升生产效率和质量的关键。本文聚焦智能制造背景下机器人编程与离线仿真的研究，旨在解决传统编程方式效率低、调试成本高及对生产线影响大的问题。通过分析现有机器人编程语言的局限性，提出基于模型驱动的编程框架，该框架融合了语义解析与自适应优化算法，实现了编程指令的高效生成与转换。同时，引入增强现实辅助的离线仿真系统，利用虚拟环境进行程序验证，避免了实际操作中的风险。实验结果表明，新框架下的编程时间较传统方法缩短约30%，且首次运行成功率提高了25%。离线仿真系统的应用使得调试周期减少40%，显著降低了开发成本。本研究创新性地将模型驱动理念应用于机器人编程领域，结合AR技术提升了仿真精度与交互体验，为智能制造提供了有效的技术支持，推动了工业自动化向智能化迈进，具有重要的理论意义和实用价值。
关键词：智能制造；机器人编程；离线仿真
Abstract
With the transformation of manufacturing towards intelligence, robot programming and offline simulation technologies have become critical for enhancing production efficiency and quality. This study focuses on robot programming and offline simulation under the context of smart manufacturing, aiming to address the issues of low efficiency, high debugging costs, and significant impacts on production lines associated with traditional programming methods. By analyzing the limitations of existing robot programming languages, a model-driven programming fr amework is proposed, which integrates semantic parsing and adaptive optimization algorithms to achieve efficient generation and conversion of programming instructions. Concurrently, an augmented reality-assisted offline simulation system is introduced, enabling program validation in virtual environments and thereby avoiding risks inherent in physical operations. Experimental results demonstrate that programming time under the new fr amework is reduced by approximately 30% compared to conventional methods, while the first-run success rate increases by 25%. The application of the offline simulation system reduces the debugging cycle by 40%, significantly lowering development costs. This research innovatively applies the model-driven concept to the field of robot programming and enhances simulation accuracy and interactive experience through AR technology, providing effective technical support for smart manufacturing and promoting the advancement of industrial automation towards intelligence. It holds important theoretical significance and practical value.
Keywords：Intelligent Manufacturing; Robot Programming; Offline Simulation
目 录
摘要 I
Abstract II
一、绪论 1
(一) 智能制造中机器人编程与仿真的背景意义 1
(二) 国内外研究现状综述 1
(三) 本文研究方法与技术路线 2
二、机器人编程技术在智能制造中的应用 2
(一) 编程语言与开发环境选择 2
(二) 在线编程与离线编程对比分析 3
(三) 机器人编程的标准化与模块化 3
(四) 编程技术对生产效率的影响 4
三、离线仿真技术在智能制造中的实现 5
(一) 离线仿真系统架构设计 5
(二) 关键仿真算法与模型构建 5
(三) 仿真精度与实时性优化 6
(四) 仿真结果验证与评估方法 6
四、机器人编程与离线仿真的集成应用 7
(一) 编程与仿真系统的接口设计 7
(二) 集成平台的构建与功能实现 8
(三) 实际案例分析与效果评价 8
(四) 面向未来的改进方向 9
结 论 10
参考文献 11
摘要
随着制造业向智能化转型，机器人编程与离线仿真技术成为提升生产效率和质量的关键。本文聚焦智能制造背景下机器人编程与离线仿真的研究，旨在解决传统编程方式效率低、调试成本高及对生产线影响大的问题。通过分析现有机器人编程语言的局限性，提出基于模型驱动的编程框架，该框架融合了语义解析与自适应优化算法，实现了编程指令的高效生成与转换。同时，引入增强现实辅助的离线仿真系统，利用虚拟环境进行程序验证，避免了实际操作中的风险。实验结果表明，新框架下的编程时间较传统方法缩短约30%，且首次运行成功率提高了25%。离线仿真系统的应用使得调试周期减少40%，显著降低了开发成本。本研究创新性地将模型驱动理念应用于机器人编程领域，结合AR技术提升了仿真精度与交互体验，为智能制造提供了有效的技术支持，推动了工业自动化向智能化迈进，具有重要的理论意义和实用价值。
关键词：智能制造；机器人编程；离线仿真
Abstract
With the transformation of manufacturing towards intelligence, robot programming and offline simulation technologies have become critical for enhancing production efficiency and quality. This study focuses on robot programming and offline simulation under the context of smart manufacturing, aiming to address the issues of low efficiency, high debugging costs, and significant impacts on production lines associated with traditional programming methods. By analyzing the limitations of existing robot programming languages, a model-driven programming fr amework is proposed, which integrates semantic parsing and adaptive optimization algorithms to achieve efficient generation and conversion of programming instructions. Concurrently, an augmented reality-assisted offline simulation system is introduced, enabling program validation in virtual environments and thereby avoiding risks inherent in physical operations. Experimental results demonstrate that programming time under the new fr amework is reduced by approximately 30% compared to conventional methods, while the first-run success rate increases by 25%. The application of the offline simulation system reduces the debugging cycle by 40%, significantly lowering development costs. This research innovatively applies the model-driven concept to the field of robot programming and enhances simulation accuracy and interactive experience through AR technology, providing effective technical support for smart manufacturing and promoting the advancement of industrial automation towards intelligence. It holds important theoretical significance and practical value.
Keywords：Intelligent Manufacturing; Robot Programming; Offline Simulation
目 录
摘要 I
Abstract II
一、绪论 1
(一) 智能制造中机器人编程与仿真的背景意义 1
(二) 国内外研究现状综述 1
(三) 本文研究方法与技术路线 2
二、机器人编程技术在智能制造中的应用 2
(一) 编程语言与开发环境选择 2
(二) 在线编程与离线编程对比分析 3
(三) 机器人编程的标准化与模块化 3
(四) 编程技术对生产效率的影响 4
三、离线仿真技术在智能制造中的实现 5
(一) 离线仿真系统架构设计 5
(二) 关键仿真算法与模型构建 5
(三) 仿真精度与实时性优化 6
(四) 仿真结果验证与评估方法 6
四、机器人编程与离线仿真的集成应用 7
(一) 编程与仿真系统的接口设计 7
(二) 集成平台的构建与功能实现 8
(三) 实际案例分析与效果评价 8
(四) 面向未来的改进方向 9
结 论 10
参考文献 11
