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作 者:何贤海 徐善永[1] He Xian-hai;Xu Shan-yong(Anhui University of Technology,Anhui Hefei 231131)
机构地区:[1]安徽理工大学,安徽合肥231131
出 处:《内燃机与配件》2025年第1期112-114,共3页Internal Combustion Engine & Parts
摘 要:随着汽车工业的发展,工业机器人在汽车零部件加工中的应用日益广泛。这些机器人必须满足高精度、高效率和高可靠性等要求,以适应复杂的加工工艺。路径规划是工业机器人在加工过程中的关键环节,它要求机器人能够高效、安全地完成任务。路径规划方法包括基于优化算法和人工智能技术的模型,这些模型能够提高路径规划的效率和准确性。仿真系统开发是确保机器人性能的重要环节,它涉及系统架构设计、动力学建模、路径规划算法实现以及界面设计和功能实现。通过仿真系统,可以在实际应用前对机器人进行测试和优化,确保其在汽车零部件加工中的高效运行。With the development of the automotive industry,the application of industrial robots in the processing of automotive parts is becoming increasingly widespread.These robots must meet the requirements of high precision,high efficiency,and high reliability to adapt to complex machining processes.Path planning is a crucial step in the machining process of industrial robots,which requires robots to efficiently and safely complete tasks.Path planning methods include models based on optimization algorithms and artificial intelligence technology,which can improve the efficiency and accuracy of path planning.Simulation system development is an important step in ensuring robot performance,involving system architecture design,dynamic modeling,path planning algorithm implementation,interface design,and functional implementation.Through simulation systems,robots can be tested and optimized before practical application to ensure their efficient operation in automotive component processing.
分 类 号:TP242.2[自动化与计算机技术—检测技术与自动化装置]
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