Abstract: An autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles for providing an assortment of items to a customer or a potential customer after such customer or potential customer summons the one or more autonomous or semi-autonomous vehicles in an unstructured open or closed environment. Each autonomous or semi-autonomous vehicle comprises one or more compartments configured to contain and secure the assortment of the items to be selected once the summoned autonomous or semi-autonomous vehicle arrives to a customer or potential customer.

Abstract: According to one aspect, a platform for providing at least one item to a customer is disclosed. The platform includes an autonomous, semi-autonomous, or fully autonomous vehicle that includes at least one compartment configured to contain a first item ordered by the customer and to contain a second item not ordered by the customer. The platform further includes an application including an ordering module configured to obtain an order from the customer that includes the first item, and a release detection module configured to determine when the first item has been removed from the at least one compartment and configured to determine when the second item has been removed from the at least one compartment. In one embodiment, the second item is predicted using a machine learning algorithm.

Abstract: An autonomous robotic vehicle includes a conveyance system, a securable compartment configured to autonomously lock and unlock, a customer identification reader, at least one processor, and a memory storing instructions which, when executed by the at least one processor, causes the autonomous robotic vehicle to, autonomously: travel to a destination location of a customer; capture, by the customer identification reader at the destination location, a customer identification object; determine that the captured customer identification object matches an identity of the customer; unlock the securable compartment based on the determination; capture, by the product identification reader, a product identifier; and accept a product to be returned by locking the securable compartment. The securable compartment contains a product identification reader.

Abstract: Systems and methods are disclosed for providing transportation or delivery services using a fleet of mixed vehicles. A computer-implemented method of providing services using a fleet of mixed vehicles includes receiving at a server a request for a service, determining parameters for the service, selecting by the server a vehicle from a fleet of mixed vehicles to perform at least a portion of the service based on the determined parameters, and transmitting a message to the selected vehicle to perform the at least a portion of the service. The fleet of mixed vehicles includes at least two of: a semi-autonomous vehicle, a fully-autonomous vehicle, a vehicle remotely operated by a human, or a human driven vehicle.

Abstract: Provided herein are platforms for determining a non-navigational quality of at least one infrastructure by a plurality of autonomous or semi-autonomous land vehicles through infrastructure recognition and assessment.

Abstract: Provided herein are platforms for determining a real-time human behavior analysis of an unmanned vehicle by a plurality of autonomous or semi-autonomous land vehicles through infrastructure recognition and assessment. The platforms determine a real-time parking status for a plurality of parking locations, a platform for detecting a traffic violation by a manned vehicle at a roadway location, and a platform for monitoring security of a physical location.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicles for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

Abstract: A delivery system includes a database configured to store information of a customer where the information includes a default payment method, a communication system configured to communicate with an autonomous vehicle and with a device of the customer, where the device includes a display screen having a button to summon an autonomous vehicle, at least one processor, and a memory storing instructions. The instructions, when executed by the at least one processor, cause the delivery system to receive an indication via the communication system that the button on the device of the customer has been clicked, and instruct the autonomous vehicle to travel to a location of the customer.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicle for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

Abstract: An autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles for providing an assortment of items to a customer or a potential customer after such customer or potential customer summons the one or more autonomous or semi-autonomous vehicles in an unstructured open or closed environment. Each autonomous or semi-autonomous vehicle comprises one or more compartments configured to contain and secure the assortment of the items to be selected once the summoned autonomous or semi-autonomous vehicle arrives to a customer or potential customer.

Abstract: According to one aspect, a platform for providing at least one item to a customer is disclosed. The platform includes an autonomous, semi-autonomous, or fully autonomous vehicle that includes at least one compartment configured to contain a first item ordered by the customer and to contain a second item not ordered by the customer. The platform further includes an application including an ordering module configured to obtain an order from the customer that includes the first item, and a release detection module configured to determine when the first item has been removed from the at least one compartment and configured to determine when the second item has been removed from the at least one compartment. In one embodiment, the second item is predicted using a machine learning algorithm.

Abstract: Systems and methods for autonomous delivery management are disclosed. In various embodiments, the system includes one or more processors and a memory storing instructions which, when executed by the processor(s), cause the autonomous delivery management system to provide a user interface for a customer to enter subscription information, receive subscription information from the user interface where the subscription information includes an item and a time interval for regularly delivering the item to the customer, store the subscription information, determine a handling itinerary for the item that includes delivery of the item in compliance with the time interval, and communicate instructions to an autonomous vehicle based on the handling itinerary.

Abstract: A system for fulfilling peer-to-peer transactions by autonomous robot vehicles includes processor(s) and a memory storing instructions which, when executed by the processor(s), cause the system to: receive information on a peer-to-peer transaction between a seller and a buyer for an item, communicate instructions to an autonomous vehicle to travel to a first destination and receive the item, receive an indication that the item has been received, communicate instructions to the autonomous vehicle to travel to a second destination to deliver the item to the buyer, receive a signal indicating that buyer funds are in escrow, and receive a signal indicating that the item is accepted or rejected by the buyer. In a case where the item is accepted, the system communicates a release of the funds from the escrow to the seller. In a case the item is rejected, the system determines a handling itinerary for the item.

Abstract: A system for a mobile secure locker in accordance with aspects of the present disclosure includes processor(s) and memory storing instructions. The instructions, when executed by the processor(s), cause the system to provide a user interface for a user to rent a mobile secure locker in an autonomous robot vehicle, receive information through the user interface from the user where the information includes a first destination, a second destination, and a time associated with the second destination, communicate instructions to the autonomous robot vehicle to travel to the first destination to receive the item, receive an indication from the autonomous robot vehicle that the item has been received, communicate instructions to the autonomous robot vehicle to travel to the second destination to deliver the item to the user at the time associated with the second destination, and receive from the autonomous robot vehicle an indication the item is retrieved.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicle for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicle for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

Abstract: According to one aspect, a platform for providing at least one item to a customer is disclosed. The platform includes an autonomous, semi-autonomous, or fully autonomous vehicle that includes at least one compartment configured to contain a first item ordered by the customer and to contain a second item not ordered by the customer. The platform further includes an application including an ordering module configured to obtain an order from the customer that includes the first item, and a release detection module configured to determine when the first item has been removed from the at least one compartment and configured to determine when the second item has been removed from the at least one compartment. In one embodiment, the second item is predicted using a machine learning algorithm.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles for containing, securing, and delivering at least one of a first item and at least one of a second item after a customer places an order for a first item, operating autonomously or semi-autonomously, and a fleet management module for coordination of the autonomous or semi-autonomous vehicle fleet.

Abstract: An autonomous robot vehicle in accordance with aspects of the present disclosure includes a conveyance system, a navigation system, a communication system configured to communicate with a food delivery management system, one or more storage modules including a storage compartment or a storage sub-compartment configured to store food items, one or more preparation modules including a preparation compartment or a preparation sub-compartment configured to prepare the food items, processor(s), and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot vehicle to, autonomously, receive via the communication system a food order for a destination, determine a travel route that includes the destination, control the conveyance system to travel the travel route to reach the destination, and prepare the food item while traveling on the travel route.

Abstract: Provided herein is a platform for distributing and navigating an autonomous or semi-autonomous fleet throughout a plurality of pathways. The platform may employ demand distribution prediction algorithms, and interim repositioning algorithms to distribute the autonomous or semi-autonomous fleet for performing orders and tasks.