  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.
