Self-organized multi-camera network for ubiquitous robot deployment in unknown environments

In this paper, we present a multi-agent system based on a network of intelligent cameras for the easy and fast deployment of mobile robots in unknown environments. The cameras are able to detect events which require the presence of the robots, calculate routes of cameras through which the robots can navigate, and support this navigation. A route is a list of cameras connected by neighbourhood relationships: the cameras may be neighbours if their Fields of View (FOVs) overlap, or if there exists a passable path among them (if their FOVs do not overlap). In our system, all coordination processes are fully distributed, based only on local-interactions, and self-organization. Our system is robust and redundant, and scales well with the size of the environment and the number of cameras and robots. Finally, it is flexible to the environment, to the number of agents used, and to their disposition. In the experimental section, we show the performance of this system in different real world settings.

► Description and experimental validation of a multi-camera network for ubiquitous robot deployment.
► Cameras detect their camera neighbours and plan routes of cameras through which the robot moves.
► Cameras are neighbours if there is a path among them: no requirement of Fields of View overlap.
► Robots navigate supported by the cameras in the covered areas, and by local maps in the uncovered.
► The system is fully distributed, based on local interactions and self-organization processes.