Kun Ma*1,2, Chuangyue Hu1 and Yuzhi Zhang2 1 Jiaxing Yangtze Delta Region Blockchain Technology, Jiaxing, China 2 College of software, Nankai University, Tianjin, China; * Correspondence: [email protected] Abstract: With the rapid development of cloud computing communication networks, issues such as limited resources and insufficient processing capabilities make it difficult to ensure the security of data […]
Category: Issue 1
A Cloud-Based Cartographer Framework for Robotic Navigation
Cartographer technology, a sophisticated method in the Simultaneous Localization and Mapping (SLAM) field, employs advanced laser and visual data fusion for accurate robot mapping and localization. Traditionally, Cartographer implementations have depended heavily on the robot’s own computing resources, often leading to computational delays and inefficient resource use. This paper introduced a novel cloud-based Cartographer framework, inspired by cloud robotics architecture, which aims to improve the efficiency of Cartographer across various robotic applications, significantly reducing computational demands and enhancing robot energy efficiency. Furthermore, the framework includes a hash elimination technique to boost data efficiency and increase overall energy savings. Experimental validations show that this framework significantly enhances the processing speed of Cartographer on cloud computing platforms, reduces robots’ energy consumption, and optimizes data transmission.