Autonomous robot-assisted indoor wireless coverage characterization platform

A method, comprising:

• measuring, by a system comprising at least one processor, topology data for a portion of an indoor environment within a sensing range of an unmanned vehicle;
• creating, by the system based on the topology data, estimated indoor map data representing a map of the indoor environment and vehicle location data representing a location of the unmanned vehicle within the indoor environment;
• measuring, by the system, a strength of a wireless communication signal at the location of the unmanned vehicle to yield wireless measurement data;
• creating, by the system, wireless coverage characterization data for the indoor environment based on the wireless measurement data, the estimated indoor map data, and the vehicle location data;
• and
• controlling, by the system, a navigation path of the unmanned vehicle based on the estimated indoor map data, the vehicle location data, and the wireless coverage characterization data.

An unmanned aerial vehicle, comprising:

• a processor;
• and
• a memory that stores executable instructions that, in response to execution by the processor, facilitate performance of operations, comprising:
• measuring a topology of a space within a sensing range of the unmanned aerial vehicle;
• generating topology data based on the measuring;
• generating estimated indoor map data based on the topology data, wherein the estimated indoor map data represents an obstruction map of the indoor environment;
• generating vehicle location data based on the topology data, wherein the vehicle location data identifies a location of the unmanned vehicle within the indoor environment;
• measuring a strength of a wireless communication channel at the location of the unmanned vehicle to yield wireless measurement data;
• generating wireless coverage characterization data for the indoor environment based on the wireless measurement data, the estimated indoor map data, and the vehicle location data;
• and
• controlling a navigation path of the unmanned vehicle based on the estimated indoor map data, the vehicle location data, and the wireless coverage characterization data.