首页 /研究 /A flexible architecture for automatically generating robot applications based on expert knowledge
OTHER

A flexible architecture for automatically generating robot applications based on expert knowledge

Miroslav Macho, Ludwig Naegele, Alwin Hoffmann, Andreas Angerer, Wolfgang Reif

发表年份
2016
引用次数
8
访问权限
开放获取

摘要

In this paper, we propose a general software architecture for off-line programming platforms to semi-automatically program a robot system and its end-effectors in industrial automation. It considers that such platforms should be geared towards domain experts - especially when regarding low-batch size manufacturing of customized products as part of Industry 4.0. Hence, it supports a process-oriented guidance for complex manufacturing tasks and includes the possibility for interactive planning with domain-specific user interfaces. Moreover, the extensibility for new domains, work-flows, algorithms, user interfaces or hardware plays an important role in the proposed approach. Finally, the architecture was successfully evaluated on an off-line programming platform for the manufacturing of carbon-fibre-reinforced polymers (CFRP) which can be characterized as a low-batch size production process.

关键词

Computer scienceDomain (mathematical analysis)ExtensibilityAutomationArchitectureRobotProcess (computing)Software engineeringComputer-aided process planningDomain knowledge

相关论文

查看 OTHER 分类全部论文