Abstract: Autonomous vehicle operational management may include an autonomous vehicle traversing a vehicle transportation network, which may include operating a scenario-specific operational control evaluation module instance, which is an instance of a scenario-specific operational control evaluation module instantiated for an occurrence of a distinct vehicle operational scenario by allocating computing resources to, and populating, the scenario-specific operational control evaluation module instance with operational environment information corresponding to the occurrence of the distinct vehicle operational scenario.

Abstract: An electric vehicle charging control device includes an electronic dynamic charging schedule generator, a non-transitory computer readable medium and an electronic communicator. The non-transitory computer readable medium stores vehicle profile data and building profile data. The electronic communicator is configured to receive profile updates to the vehicle profile data from an electronic user interface. The electronic controller is programmed to generate a driver charging profile based on the vehicle profile data and the building profile data. The electronic controller is programmed to update the driver charging profile based on the electric vehicle user's behavior. The electronic controller is programmed to generate a charging schedule for the electric vehicle based on the updated driver charging profile.

Abstract: A computing system may be configured as a fleet controller for autonomous mobile robots operating within a physical environment. The system may include a communication interface receiving sensor data from the robots including image data captured by visible light cameras located on the robots, an environment mapper determining a scene graph representing the environment and identifying navigable regions of the environment, a workflow coordinator determining a workflow including tasks to be performed within the environment by one or more of the robots in cooperation with a human, and a route planner configured to determine routing information for a robot, which may autonomously navigate the environment to execute the tasks based on the routing information.

Abstract: A computing system may be configured as a fleet controller for autonomous mobile robots operating within a physical environment. The system may include a communication interface receiving sensor data from the robots including image data captured by visible light cameras located on the robots, an environment mapper determining a global scene graph representing the environment and identifying navigable regions of the environment, a workflow coordinator determining a workflow including tasks to be performed within the environment by one or more of the robots in cooperation with a human, and a route planner configured to determine routing information for the one or robots including a nominal route from a source location to a destination location. The robots may be configured to autonomously navigate the environment to execute the tasks based on the routing information.

Abstract: A computing system may be configured as a fleet controller for autonomous mobile robots operating within a physical environment. The system may include a communication interface receiving sensor data from the robots including image data captured by visible light cameras located on the robots, an environment mapper determining a global scene graph representing the environment and identifying navigable regions of the environment, a workflow coordinator determining a workflow including tasks to be performed within the environment by one or more of the robots in cooperation with a human, and a route planner configured to determine routing information for the one or robots including a nominal route from a source location to a destination location. The robots may be configured to autonomously navigate the environment to execute the tasks based on the routing information.

Abstract: An electric vehicle charging control device includes an electronic dynamic charging schedule generator, a non-transitory computer readable medium and an electronic communicator. The non-transitory computer readable medium stores vehicle profile data and building profile data. The electronic communicator is configured to receive profile updates to the vehicle profile data from an electronic user interface. The electronic controller is programmed to generate a driver charging profile based on the vehicle profile data and the building profile data. The electronic controller is programmed to update the driver charging profile based on the electric vehicle user's behavior. The electronic controller is programmed to generate a charging schedule for the electric vehicle based on the updated driver charging profile.

Abstract: An electric vehicle charging control device includes a charging station and an electronic dynamic charging schedule generator. The charging station has at least a first charging port and a second charging port. The electronic dynamic charging schedule generator has an electronic controller is configured to determine when a first electric vehicle user accesses the first charging port. The electronic controller is further configured to determine when a second electric vehicle user accesses the second charging port. The second electric user accesses the second charging port after the first user accesses the first charging port. The electronic controller is programmed to generate a first charging schedule for the first electric vehicle. The electronic controller is programmed to generate a second charging schedule for the second electric vehicle. The electronic controller is programmed to update the first charging schedule based on the second charging schedule.

Abstract: An electric vehicle charging control device includes an electronic dynamic charging schedule generator, a non-transitory computer readable medium and an electronic communicator. The electronic dynamic charging schedule generator has an electronic controller configured to determine when an electric vehicle user accesses a charging port provided at a building structure being powered by an electric source. The non-transitory computer readable medium stores vehicle profile data for the electric vehicle. The electronic communicator is configured to receive profile updates to the vehicle profile data from an electronic user interface. The electronic controller is programmed to generate a charging schedule for the electric vehicle based on the vehicle profile data. The charging schedule has a charge period in which the electric vehicle is receiving charge from the building structure and a discharge period in which the electric vehicle is providing charge to the building structure.

Abstract: A vehicle includes a user input interface, an electronic display device and a processor. The user input interface is configured to allow a user to input one or more burden conditions of the user. The electronic display device is positioned in an interior compartment of the vehicle. The processor is programmed to control the electronic display device to display one or more route selections, the one or more route selections being based on the burden conditions.

Abstract: Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a scenario-specific operational control evaluation module instance, wherein the scenario-specific operational control evaluation module instance is an instance of a scenario-specific operational control evaluation module, wherein the scenario-specific operational control evaluation module implements a partially observable Markov decision process. Traversing the vehicle transportation network may include receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.

Abstract: Autonomous vehicle operational management may include an autonomous vehicle traversing a vehicle transportation network, which may include operating a scenario-specific operational control evaluation module instance, which is an instance of a scenario-specific operational control evaluation module instantiated for an occurrence of a distinct vehicle operational scenario by allocating computing resources to, and populating, the scenario-specific operational control evaluation module instance with operational environment information corresponding to the occurrence of the distinct vehicle operational scenario.

Abstract: Autonomous vehicle operational management including blocking monitoring may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a blocking monitor instance, which may include identifying operational environment information including information corresponding to a first external object within a defined distance of the autonomous vehicle, determining a first area of the vehicle transportation network based on a current geospatial location of the autonomous vehicle in the vehicle transportation network and an identified route for the autonomous vehicle, and determining a probability of availability for the first area based on the operational environment information. Traversing the vehicle transportation network may include traversing a portion of the vehicle transportation network based on the probability of availability.

Abstract: Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include generating an autonomous vehicle operational control environment for operating scenario-specific operational control evaluation module instances. A scenario-specific operational control evaluation module instance may be an instance of a respective scenario-specific operational control evaluation module. A scenario-specific operational control evaluation module may model a respective distinct vehicle operational scenario. A scenario-specific operational control evaluation module instance may generate a respective candidate vehicle control action responsive to the respective corresponding distinct vehicle operational scenario.

Abstract: Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include receiving, from a sensor of the autonomous vehicle, sensor information corresponding to an external object within a defined distance of the autonomous vehicle, identifying a distinct vehicle operational scenario in response to receiving the sensor information, instantiating a scenario-specific operational control evaluation module instance, wherein the scenario-specific operational control evaluation module instance is an instance of a scenario-specific operational control evaluation module modeling the distinct vehicle operational scenario, receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.

Abstract: Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a scenario-specific operational control evaluation module instance, wherein the scenario-specific operational control evaluation module instance is an instance of a scenario-specific operational control evaluation module, wherein the scenario-specific operational control evaluation module implements a partially observable Markov decision process. Traversing the vehicle transportation network may include receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.

Abstract: Autonomous vehicle operational management including blocking monitoring may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a blocking monitor instance, which may include identifying operational environment information including information corresponding to a first external object within a defined distance of the autonomous vehicle, determining a first area of the vehicle transportation network based on a current geospatial location of the autonomous vehicle in the vehicle transportation network and an identified route for the autonomous vehicle, and determining a probability of availability for the first area based on the operational environment information. Traversing the vehicle transportation network may include traversing a portion of the vehicle transportation network based on the probability of availability.

Abstract: Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include receiving, from a sensor of the autonomous vehicle, sensor information corresponding to an external object within a defined distance of the autonomous vehicle, identifying a distinct vehicle operational scenario in response to receiving the sensor information, instantiating a scenario-specific operational control evaluation module instance, wherein the scenario-specific operational control evaluation module instance is an instance of a scenario-specific operational control evaluation module modeling the distinct vehicle operational scenario, receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.