Research on robot grabbing system based on hybrid cloud

作     者：Sheng Haiyan Wei Shimin Yu Xiuli Tang Ling Sheng Haiyan;Wei Shimin;Yu Xiuli;Tang Ling

作者机构：School of AutomationBeijing University of Posts and TelecommunicationsBeijing 100876China Century CollegeBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2021年第28卷第6期

页      面：48-54页

核心收录：

学科分类：08[工学] 080202[工学-机械电子工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 

主　　题：grabbing hybrid cloud robotic object segmentation and recognition microservice 

摘      要：Robot grabbing has been successfully applied to a range of challenging environments but met the resource bottleneck. To answer this question, a hybrid cloud-based robot grabbing system is proposed, which supports centralized bin-picking management and deployment, large-scale storage, and communication technologies. The hybrid cloud combines the powerful computational capabilities through massive parallel computation and higher data storage facilities in the public cloud with data privacy in the private data center. The benchmark tasks against a public cloud based on robot grabbing method are evaluated, whose results indicate that the whole system reduces the data collection time and increases elastic resource scheduling and is adapted in the real industry.