In this case study, we design, integrate and implement a cloud-enabled autonomous robotic navigation system. The system has the following features: map generation and robot coordination via cloud service and video streaming to allow online monitoring and control in case of emergency. The system has been tested to generate a map for a long corridor using two modes: manual and autonomous. The autonomous mode has shown more accurate map. In addition, the field experiments confirm the benefit of offloading the heavy computation to the cloud by significantly shortening the time required to build the map.
翻译:在本案例研究中,我们设计、整合和实施一个云载自动机器人导航系统,该系统具有以下特征:通过云服务和视频流进行地图生成和机器人协调,以便在出现紧急情况时进行在线监测和控制。该系统已经测试,以便用手动和自主两种方式绘制长走廊的地图。自主模式显示的地图更准确。此外,实地实验通过大大缩短绘制地图所需的时间,证实将重计算从云中卸下的好处。