Cloud Computing for Autonomous Navigation of Unmanned Ground Vehicle

The highlights of this work promise and challenges the utilization of autonomous robots in industry and military field applications. The heterogeneous sensors to sense the environmental information such as temperature, pressure, obstacles are networked together to form a distributed sensor network. It makes a lot of sense to integrate sensor networks with Cloud through Internet, in order to access data from anywhere. Some of the findings require fundamental research to advance the current state of the art, while others point to overlooked factors that should be considered during robot design. The best use of currently available autonomous robots in the defence application appears to be liable, easily deployed system that increases situational awareness with minimal impact on the industrial team's workload. This implies that the robot's mobility must be predictable rather than "intelligent", must be based on on-board sensing, and easily directed by commanders. In addition, information gathering must be highly refined, with geo-referenced data available in a format that is readily combined with a team's existing infrastructure, typically hardcopy maps. Thus, the robot should be designed as a data gathering system rather than just a mobile vehicle with a camera.