计量学报2023，Vol.44Issue(12)：1805-1811,7.DOI:10.3969/j.issn.1000-1158.2023.12.04
基于机器视觉的分拣机器人6D位姿估计
6D Pose Estimation of Sorting Robot Based on Machine Vision
摘要
Abstract
In order to solve the problems of low degree of automation,poor real-time performance and weak portability of traditional sorting robots when they complete designated actions through manual instruction,an experimental platform of sorting robots based on machine vision is designed,and a high-precision 6D pose estimation method based on the mixed progressive registration strategy of coarse registration and enhanced fine registration is proposed.Firstly,the 3D point cloud information collected by the vision sensor is preprocessed,such as background information removal,target region clipping,ROI extraction,etc.,and the sampling consistency initial registration algorithm(SAC-IA)is used for pose rough registration.Then the iterative closest point(ICP)algorithm is used for fine registration and the normal distribution transformation(NDT)is used to enhance the fine registration to achieve a high precision 6D position.The experimental results show that the integration of coarse registration and enhanced fine registration can quickly and accurately obtain the 6D position and attitude of the target to be captured,with errors controlled within 1.5 mm and 2 ° compared to the theoretical position and attitude,respectively,and meet the practical needs of sorting robots.The proposed method can be applied to the machine vision based robot assembly,grinding and other occasions with high precision 6D pose estimation.关键词
机器视觉/分拣机器人/6D位姿/增强精配准/SAC-IA算法/ICP算法/NDTKey words
machine vision/sorting robot/6D pose/enhanced fine registration/SAC-IA/ICP algorithm/NDT分类
通用工业技术引用本文复制引用
赵岚,佘媛,温秀兰,李国成,张腾飞,赫忠乐..基于机器视觉的分拣机器人6D位姿估计[J].计量学报,2023,44(12):1805-1811,7.基金项目
国家自然科学基金(51675259) （51675259）
江苏省产学研合作项目(BY2022076) （BY2022076）
江苏省研究生科研与实践创新计划项目(SJCX22_1071) （SJCX22_1071）
