Artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices

Abstract

An artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices is disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

What is claimed is: 
     
         1 . A method, comprising:
 predicting, by a system comprising a processor, a location and a time that a vehicle, which is in transit, will have a defined battery level indicative of requiring charging of a battery of the vehicle;   identifying, by the system, a mobile charging station of a group of mobile charging stations that satisfies a criterion for the charging of the battery; and   sending, by the system via a network, respective navigation instructions to the vehicle and the mobile charging station for use by the vehicle and the mobile charging station to arrive at the location at the time for the charging of the battery.   
     
     
         2 . The method of  claim 1 , wherein the criterion comprises an amount of charging capacity of the mobile charging station. 
     
     
         3 . The method of  claim 1 , wherein the criterion comprises a type of charging provided by the mobile charging station. 
     
     
         4 . The method of  claim 1 , wherein the criterion comprises a distance of the mobile charging station from the location. 
     
     
         5 . The method of  claim 1 , wherein the criterion comprises a type of charging interface of the mobile charging station. 
     
     
         6 . The method of  claim 1 , wherein the predicting is based on a payload of the vehicle. 
     
     
         7 . The method of  claim 1 , wherein the predicting is based on a geographic condition in a region in which the transit of the vehicle is occurring. 
     
     
         8 . A network device, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 determining a location and a time that an autonomous vehicle that is in transit will need battery charging; 
 selecting a mobile charging device of a group of mobile charging device that satisfies a criterion for the battery charging; and 
 transmitting, via a network, respective navigation instructions to the autonomous vehicle and the mobile charging device for use by the autonomous vehicle and the mobile charging device to arrive at the location at the time for the battery charging. 
   
     
     
         9 . The network device of  claim 8 , wherein the criterion comprises a predicted amount of charging capacity of the mobile charging device at the time. 
     
     
         10 . The network device of  claim 8 , wherein the criterion comprises a type of charging enabled by the mobile charging device. 
     
     
         11 . The network device of  claim 8 , wherein the criterion comprises a charging cost of the mobile charging device. 
     
     
         12 . The network device of  claim 8 , wherein the criterion comprises a type of charging interface of the mobile charging device. 
     
     
         13 . The network device of  claim 8 , wherein the determining is based on a travel route of the autonomous vehicle. 
     
     
         14 . The network device of  claim 8 , wherein the determining is based on a weather condition in a defined area in which the transit of the autonomous vehicle is occurring. 
     
     
         15 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
 predicting a location and a time that an aerial vehicle that is flying is going to request battery charging;   determining a mobile charging pod of a group of mobile charging pods that fulfills a criterion for the battery charging; and   communicating, via a network, respective navigation instructions to the aerial vehicle and the mobile charging pod for use by the aerial vehicle and the mobile charging pod to arrive at the location at the time for the battery charging.   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein the criterion comprises an amount of charging capacity of the mobile charging pod. 
     
     
         17 . The non-transitory machine-readable medium of  claim 15 , wherein the criterion comprises a cost of the battery charging by the mobile charging pod. 
     
     
         18 . The non-transitory machine-readable medium of  claim 15 , wherein the determining is based on a travel route of the aerial vehicle. 
     
     
         19 . The non-transitory machine-readable medium of  claim 15 , wherein the predicting is based on a weight of a payload of the aerial vehicle. 
     
     
         20 . The non-transitory machine-readable medium of  claim 15 , wherein the predicting is based on a weather condition in a defined space in which the aerial vehicle is flying.