http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Oliver Riedel (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Feature recognition for graph-based assembly product representation using machine learning
Jonathan M. Worner,Daniella Brovkina,Oliver Riedel 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
The automation of the entire value chain of a product requires not only automated production and assembly, but also automated production and assembly planning. Today, assembly planning is mostly a manual task and is based on computer-aided design descriptions and technical drawings. For the automation of the assembly planning, an automated recognition of the assembly features of the goal product is essential. In this paper, a concept for an automatic recognition of form features as well as the assignment of the connections between them as joints to build the assembly feature is described. The feature recognition is based on point clouds and uses the PointNet architecture. A data set of point clouds for training and an approach for automatic recognition of shape and assembly features using a convolutional neural network is presented. This approach can be used to recognize 12 features and assign seven joints. The recognition rate for the form features is over 95%. Finally, the features and their connections are stored in a graph database.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
