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Preparing sampling-based motion planning for manufacturers of micro-optical components

机译:为微光学元件制造商准备基于采样的运动计划

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Today, laser manufacturers investigate and invest in automated assembly approaches in order to meet the high demands on flexibility, autonomy and efficiency and to counter competitive pressure. In the project “DeLas”, a consortium of manufacturers of micro-optical components and manufacturers of assembly equipment for micro-optical components came together with researchers in automation and robotics for transferring state-of-the-art methods in their academic fields to industrial assembly scenarios. Due to a surprising lack of automation and accompanying model- and simulation-based toolchains in this industrial sector so far, automation in micro-optical assembly strongly and newly benefits from tools well-established in other sectors, such as 3d simulation, visual programming and motion planning. At the Institute for Man-Machine Interaction (MMI), our role in ”DeLas” was to develop a 3d simulation-based IDE (”Integrated Development Environment”) for process development. The IDE aims at enabling laser experts and optics experts to develop assembly processes without prior background in programming robots. In our contribution, we first describe characteristic problems and approaches in micro-optical assembly, with a glance at process development and hardware setups. We then concentrate on the selection and preparation of the ”Open Motion Planning Library” [OMPL] to provide motion planning strategies for the IDE This contribution summarizes previous work, focussing on the transfer of methods from robotics research to industrial applications.
机译:如今,激光制造商正在研究和投资于自动化组装方法,以满足对灵活性,自主性和效率的高要求,并应对竞争压力。在“ DeLas”项目中,由微光学组件制造商和微光学组件组装设备制造商组成的财团与自动化和机器人技术研究人员一起,将其学术领域的最新方法应用于工业领域。组装方案。迄今为止,由于该工业领域缺乏自动化以及随附的基于模型和仿真的工具链,令人惊讶的是,微光学装配中的自动化极大地受益于其他领域中成熟的工具,例如3d仿真,可视化编程和运动计划。在人机交互研究所(MMI)中,我们在“ DeLas”中的作用是开发用于过程开发的基于3d仿真的IDE(“集成开发环境”)。 IDE的目的是使激光专家和光学专家能够开发装配过程,而无需事先对机器人进行编程。在我们的贡献中,我们首先介绍了微光学组件的特征性问题和方法,并简要介绍了过程开发和硬件设置。然后,我们专注于“开放运动计划库” [OMPL]的选择和准备,以为IDE提供运动计划策略。此文稿总结了以前的工作,重点是从机器人研究到工业应用的方法转移。

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