Distribution and retrieval of inventory and materials using autonomous vehicles

• US 10,308,430 B1
• Filed: 12/23/2016
• Issued: 06/04/2019
• Est. Priority Date: 12/23/2016
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Brady, Tye Michael, Canavor, Darren Ernest, Evans, Ethan Zane, Mishra, Pragyana K., Siegel, Hilliard Bruce
• Primary Examiner(s): Cumbess, Yolanda R
• Application Number:
  US15/389,920
• Time in Patent Office: 893 Days
• Field of Search: None
• CPC Class Codes: B65G 1/1373 for fulfilling orders in warehouses
• CPC Class Codes: G05D 1/0022 characterised by the communication link data switching networks in general H04L12/00
• CPC Class Codes: G05D 1/0027 involving a plurality of vehicles, e.g. fleet or convoy travelling fleet control of land vehicles from a control room G05D1/0297; traffic control systems for road vehicles G08G1/00; for marine craft G08G3/00; for aircraft G08G5/00
• CPC Class Codes: G05D 1/0278 using satellite positioning signals, e.g. GPS
• CPC Class Codes: G06Q 10/083 Shipping
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

Autonomous vehicles may be deployed to areas where an item is in demand, and configured to fulfill orders for the item received from the areas. The autonomous vehicles are loaded with the item and dispatched to the area under their own power or in a carrier. When an order for the item is received, an autonomous vehicle delivers the item to a location in the area. Autonomous vehicles may also be equipped with a 3D printer or other equipment and loaded with materials for manufacturing the item. When an order for the item is received, the autonomous vehicle manufactures the item from such materials, and delivers the item. Autonomous vehicles may be configured for collaboration, such as to deliver or manufacture items in multiple stages and to transfer the items between vehicles. Autonomous vehicles may also be configured to automatically access locations in the area, e.g., using wireless access codes.

Claims

1. A distribution system comprising:

a fulfillment center;

a plurality of autonomous ground vehicles;

at least one carrier vehicle;

at least one computer system in communication with at least some of the plurality of autonomous ground vehicles and the at least one item carrier, wherein the at least one computer system is configured to execute a method comprising;

predicting, at a first time, a first level of demand for a first item in a first geographic region at a second time, wherein the fulfillment center is not in the first geographic region;

determining a first number of the first item associated with the first level of demand in the first geographic region at the second time;

prior to the second time, loading at least the first number of the first item into at least a first one of the plurality of autonomous ground vehicles at the fulfillment center;

prior to the second time, causing at least the first autonomous ground vehicle to be loaded onto the at least one carrier vehicle at the fulfillment center;

causing the at least one carrier vehicle to travel from the fulfillment center to a first location in the first geographic region;

causing the first autonomous ground vehicle to disembark from the at least one carrier vehicle at the first location;

receiving an order for a delivery of one of the first item to a second location in the first geographic area; and

causing the first autonomous ground vehicle to transport the one of the first item to the second location.

2. The distribution system of claim 1, wherein the method further comprises:

predicting, at the first time, a second level of demand for a second item in the first geographic region at the second time;

determining a second number of the second item associated with the second level of demand in the first geographic region at the second time;

prior to the second time, loading at least the second number of the second item into at least a second one of the plurality of autonomous ground vehicles at the fulfillment center;

prior to the second time, causing at least the second autonomous ground vehicle to be loaded onto the at least one carrier vehicle at the fulfillment center;

selecting the second location based at least in part on the first level of demand for the first item;

selecting a third location in the first geographic region based at least in part on the second level of demand for the second item;

causing the at least one carrier vehicle to travel to the third location;

causing the second autonomous ground vehicle to disembark from the at least one carrier vehicle at the third location;

receiving an order for a delivery of one of the second item to a fourth location in the first geographic area; and

causing the first autonomous ground vehicle to transport the one of the first item to the fourth location.

3. The distribution system of claim 1, wherein the carrier vehicle is one of a tractor-trailer, a container ship or a cargo aircraft.

4. A computer-implemented method comprising:

determining a level of demand for a first item in a first geographic area by at least one computer server;

in response to determining the level of demand for the first item in the first geographic area,

selecting a first number of the first item based at least in part on the level of demand for the first item in the first geographic area by the at least one computer server;

loading at least the first number of the first item into at least a first storage compartment of a first autonomous ground vehicle at a first location, wherein the first autonomous ground vehicle comprises;

the first storage compartment;

a plurality of wheels;

an electric motor;

at least one wireless transceiver;

a Global Positioning System receiver; and

at least one computer processor;

wherein the first location is not in the first geographic area; and

causing the first autonomous ground vehicle to be transported from the first location to a second location within the first geographic area.

5. The computer-implemented method of claim 4, further comprising:

receiving a first order for a delivery of at least one of the first item to a third location by the at least one computer server over a network, wherein the third location is within the first geographic area; and

in response to receiving the first order for the delivery of the at least one of the first item to the third location,

causing the first autonomous ground vehicle to fulfill the first order,

wherein causing the first autonomous ground vehicle to fulfill the first order comprises transmitting at least one instruction to deliver the at least one of the first item to the third location to the first autonomous ground vehicle over the network.

6. The computer-implemented method of claim 5, wherein receiving the order for the delivery of the at least one of the first item to the third location comprises:

receiving a plurality of orders for deliveries of at least one of the first item to one of a plurality of locations within the first geographic area by the at least one computer server over the network, wherein the first order is one of the plurality of orders, and wherein the third location is one of the plurality of locations; and

determining an optimal route for fulfilling each of the plurality of orders based at least in part on the plurality of locations within the first geographic area, wherein the optimal route begins at the second location and includes each of the plurality of locations, wherein causing the first autonomous ground vehicle to fulfill the first order comprises;

causing the first autonomous ground vehicle to fulfill each of the plurality of orders, and

wherein the at least one instruction to deliver the at least one of the first item to the third location comprises an instruction to deliver the at least one of the first item to each of the plurality of locations via the optimal route.

7. The computer-implemented method of claim 4, wherein determining the level of demand for the first item in the first geographic area comprises:

determining, by the at least one computer server, at least one of;

prior purchases of the first item or a second item by customers in a plurality of locations in the first geographic area over a predetermined period of time, wherein the second item is one of a complement to the first item or a substitute for the first item;

or

prior deliveries of the first item or the second item to the plurality of locations in the first geographic area over the predetermined period of time; and

predicting the level of demand for the first item in the first geographic area based at least in part on at least one of the prior purchases or the prior deliveries.

8. The computer-implemented method of claim 4, wherein determining the level of demand for the first item in the first geographic area comprises:

identifying a first attribute of the first geographic area by the at least one computer server;

determining, by the at least one computer server, that the first attribute is similar to a second attribute of a second geographic area; and

in response to determining that the first attribute is similar to the second attribute,

determining a level of demand for the first item in the second geographic area by the at least one computer server,

wherein the level of demand for the first item in the first geographic area is determined based at least in part on the level of demand for the first item in the second geographic area.

9. The computer-implemented method of claim 4, wherein determining the level of demand for the first item in the first geographic area comprises:

identifying an upcoming event occurring in at least the first geographic area by the at least one computer server, wherein the first item is related to the upcoming event, and

wherein the level of demand of the first item in the first geographic area is determined based at least in part on the upcoming event.

10. The computer-implemented method of claim 4, further comprising:

identifying a demand threshold associated with at least one of the first item or the first geographic area by the at least one computer server; and

determining that the level of demand for the first item in the first geographic area exceeds the demand threshold by the at least one computer server,

wherein the first number of the first item is selected based at least in part on the level of demand for the first geographic area in response to determining that the level of demand exceeds the demand threshold.

11. The computer-implemented method of claim 4, wherein determining the level of demand for the first item in the first geographic area comprises:

determining levels of demand for the first item in each of a plurality of geographic areas by the at least one computer server;

selecting one of the plurality of geographic areas having a highest one of the levels of demand for the first item by the at least one computer server, wherein the first geographic area is the one of the plurality of geographic areas having the highest one of the levels of demand for the first item.

12. The computer-implemented method of claim 4, further comprising:

determining a level of demand for a second item in the first geographic area by the at least one computer server;

in response to determining the level of demand for the second item in the first geographic area,

selecting a second number of the second item based at least in part on the level of demand for the second item in the first geographic area by the at least one computer server;

loading at least the second number of the first item into at least a second storage compartment of the first autonomous ground vehicle at the first location; and

selecting the second location based at least in part on at least one of the level of demand for the first item or the level of demand for the second item.

13. The computer-implemented method of claim 4, further comprising:

determining a level of demand for a second item in the first geographic area by the at least one computer server;

in response to determining the level of demand for the second item in the first geographic area,

selecting a second number of the second item based at least in part on the level of demand for the second item in the first geographic area by the at least one computer server;

loading at least the second number of the first item into at least a second storage compartment of a second autonomous ground vehicle at the first location, wherein the second autonomous ground vehicle comprises;

the second storage compartment;

a plurality of wheels;

an electric motor;

at least one wireless transceiver;

a Global Positioning System receiver; and

at least one computer processor; and

selecting the second location based at least in part on the level of demand for the first item by the at least one computer server;

selecting a third location within the first geographic area based at least in part on the level of demand for the second item by the at least one computer server; and

causing the second autonomous ground vehicle to be transported from the first location to the third location.

14. The computer-implemented method of claim 5,

determining that the first autonomous ground vehicle fulfilled the first order by the at least one computer server;

and

in response to determining that the first autonomous ground vehicle fulfilled the first order by the at least one computer server,

determining a level of demand for a second item in a second geographic area by the at least one computer server;

determining that at least one of the second item is at a third location by the at least one computer server, wherein the third location is within the first geographic area;

causing the first autonomous ground vehicle to retrieve the at least one of the second item at the third location,

wherein causing the first autonomous ground vehicle to retrieve the at least one of the second item from the third location comprises transmitting at least one instruction to travel from the second location to the third location to retrieve the at least one of the second item to the first autonomous ground vehicle over the network; and

causing the first autonomous ground vehicle to be transported from the third location to a fourth location within the second geographic area.

15. The computer-implemented method of claim 5, wherein causing the first autonomous ground vehicle to be transported from the fulfillment center to the first location within the first geographic area comprises:

causing the first autonomous ground vehicle to be loaded onto a carrier vehicle at the fulfillment center;

causing the carrier vehicle to be transported from the fulfillment center to the first location; and

causing the first autonomous ground vehicle to disembark from the carrier vehicle at the first location.

16. The computer-implemented method of claim 15,

wherein the carrier vehicle is configured to securely accommodate at least the first autonomous ground vehicle therein, and

wherein the carrier vehicle comprises at least one of a ground-based vehicle, an aerial vehicle or a seagoing vessel.

17. The computer-implemented method of claim 14, wherein causing the first autonomous ground vehicle to be transported from the third location to the fourth location within the second geographic area comprises:

causing the first autonomous ground vehicle to be loaded onto a carrier vehicle at the third location;

causing the carrier vehicle to be transported from the third location to the fourth location; and

causing the first autonomous ground vehicle to disembark from the carrier vehicle at the fourth location.

18. The computer-implemented method of claim 4,

receiving a first order for a delivery of at least one of the first item to a third location by the at least one computer server over a network, wherein the third location is within the first geographic area;

and

in response to receiving the first order for the delivery of the at least one of the first item to the third location,

causing the first autonomous ground vehicle to travel to a fourth location, wherein the fourth location is within the first geographic area;

causing the first autonomous ground vehicle to transfer the at least one of the first item from the first storage compartment of the first autonomous ground vehicle to a second storage compartment of a second autonomous ground vehicle, wherein the second autonomous ground vehicle comprises;

the second storage compartment;

a plurality of wheels;

an electric motor;

at least one wireless transceiver;

a Global Positioning System receiver; and

at least one computer processor;

causing the second autonomous vehicle to deliver the at least one of the first item from the fourth location to the third location; and

causing the second autonomous vehicle to deposit the at least one of the first item at the third location.

19. A computer-implemented method comprising:

receiving, over a communications network, a first order for a purchase of an item from a customer, wherein the first order specifies a destination for a delivery of the item, and wherein the destination is located in a geographic area;

identifying a plurality of autonomous ground vehicles in the geographic area by the at least one computer server, wherein each of the autonomous ground vehicles comprises;

a frame;

at least one pair of wheels joined to at least one axle;

at least one battery;

a motor disposed within the frame, wherein the motor is configured to cause the at least one pair of wheels to rotate at a speed within a predetermined speed range;

at least one storage compartment having at least the item stored therein, wherein the at least one storage compartment is disposed within the frame, wherein the at least one storage compartment comprises at least one door pivotably joined to an outer surface of the frame by at least one hinge, and wherein the at least one door is configured to pivot between an open position and a closed position;

at least one power module for powering the motor;

a position sensor;

at least one computer processor; and

at least one memory component;

determining at least one attribute of each of the plurality of autonomous ground vehicles in the geographic area by the at least one computer server, wherein the at least one attribute is at least one of;

a location within the geographic area;

a charge level of the at least one battery;

the predetermined speed range;

a number of the item in the at least one storage compartment;

an environmental condition in the geographic area;

selecting a first autonomous ground vehicle by the at least one computer server based at least in part on the at least one attribute of the first autonomous ground vehicle, wherein the first autonomous ground vehicle is one of the plurality of autonomous ground vehicles in the geographic area;

determining an optimal route for the delivery of the item to the destination by the first autonomous ground vehicle; and

causing the first autonomous ground vehicle to deliver the item from the location of the first autonomous ground vehicle to the destination.

20. The computer-implemented method of claim 19, wherein receiving the first order for the purchase of the item from the customer comprises:

receiving, over the communications network, a plurality of orders for purchases of the item, wherein each of the orders specifies destinations for deliveries of the item, wherein each of the destinations is located in the geographic area, and wherein the first order is one of the plurality of orders,

wherein selecting the one of the plurality of autonomous ground vehicles in the geographic area comprises;

selecting, for each of the plurality of orders for purchases of the item, one of the plurality of autonomous ground vehicles in the geographic area by the at least one computer server, wherein the first autonomous ground vehicle is the one of the plurality of autonomous ground vehicles in the geographic area selected for the first order; and

wherein causing the selected autonomous ground vehicle to deliver the item to the destination further comprises;

transmitting, over the communications network, instructions to deliver the item to each of the destinations to each of the selected autonomous ground vehicles.