The present disclosure generally relates to a system of a delivery device for combining sensor data from various types of sensors to generate a map that enables the delivery device to navigate from a first location to a second location to deliver an item to the second location. The system obtains data from RGB, LIDAR, and depth sensors and combines this sensor data according to various algorithms to detect objects in an environment of the delivery device, generate point cloud and pose information associated with the detected objects, and generates object boundary data for the detected objects. The system further identifies object states for the detected object and generates the map for the environment based on the detected object, the generated object proposal data, the labeled point cloud data, and the object states. The generated map may be provided to other systems to navigate the delivery device.

Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, a method for operating an autonomous vehicle comprises receiving real-time perception data at a planner module located on the autonomous vehicle, and generating an initial motion plan based on the real-time perception data. The autonomous vehicle is maneuvered along a constrained route based on the initial motion plan without user input. An alert condition is detected from the real-time perception data, and a notification is displayed at an operator device. The notification includes a request for user input to adjust the initial motion plan. User input is received at the planner module and a modified motion plan is generated by adjusting the initial motion plan based on the user input. A virtual representation of objects identified by the AV is locally rendered for display at the operator device.

A higher throughput is an increasingly necessary requirement for driverless transport systems with a plurality of driverless transport vehicles. In arrangements with inclined roadways, resuming a movement is problematic in that doing so has hitherto only been possible with a limited arrangement of the roadways and/or with highly dimensioned drives. The novel method provides for moving a driverless transport vehicle on an inclined transport roadway, wherein the steering drives are actuated on the basis of the detected inclination direction in order to move the vehicle such that the transport vehicle is moved transversely to the inclination direction. After a specified minimum speed of the transport vehicle transversely to the inclination direction is reached, the steering drives are adjusted such that the transport vehicle continues to move in the inclination direction.

An example system includes a computing system having computer memory storing instructions that are executable and one or more processing devices for executing the instructions to perform operations that include receiving data from a user device that identifies goods, and generating information representing the goods based on the data. Bins are configured to hold the good represented by the information. The bins are climate-controllable to accommodate the goods. An autonomous vehicle is configured to transport the bins. The autonomous vehicle is configured to navigate from a loading station where at least some of the goods are received in the bins to a pick-up station where the goods are released from the bins.

An order fulfillment and delivery system for autonomously fulfilling orders while en route to a delivery location. The system includes a delivery vehicle having a storage area, a robotic system at least partially disposed within the storage area and one or more processors. The one or more processors being configured to receive an order of one or more inventory items, generate container retrieval instructions for the robotic system to perform based on the received order and transmit to the robotic system the container retrieval instructions to perform. The robot system includes a container retrieval device movable in at least two dimensions to engage and move a container, based upon the container retrieval instructions, from a first location within the delivery vehicle to a second location within the delivery vehicle.

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.

The technology relates to cargo vehicles. National, regional and/or local regulations set requirements for operating cargo vehicles, including how to distribute and secure cargo, and how often the cargo should be inspected during a trip. However, such regulations have been focused on traditional human-driven vehicles. Aspects of the technology address various issues involved with securement and inspection of cargo before a trip, as well as monitoring during the trip so that corrective action may be taken as warranted. For instance, imagery and other sensor information may be used to enable proper securement of cargo before starting a trip. Onboard sensors along the vehicle monitor the cargo and securement devices/systems during the trip to identify issues as they arise. Such information is used by the onboard autonomous driving system (or a human driver) to take corrective action depending on the nature of the issue.

Systems and methods for reconfiguring seats of an autonomous vehicle is provided. The method includes obtaining service request data that includes a service selection and request characteristics. The method includes obtaining data describing an initial seat configuration for each of a plurality of seats of an autonomous vehicle assigned to the service request. The initial seat configuration can include a seat position and a seat orientation for each of the plurality of seats. The method includes generating, based on the initial cabin configuration and the service request data, seat adjustment instructions configured to adjust the initial seat configuration of at least one of the seats. The method includes providing the seat adjustment instructions to the autonomous vehicle assigned to the service request.

A fleet management system dispatches autonomous electric vehicles (AEVs) as on-demand power sources. The fleet management system receives a request for a power source including a location and data describing the amount of power requested. The fleet management system selects an AEV of the fleet to service the request based on the relative locations of the AEVs to the requested location, and based on the amount of power requested. The fleet management system instructs the selected AEV to drive to the location and supply power. The fleet management system instructs the selected AEV to disconnect and return to the charging station, and may instruct another AEV to continue fulfilling the request if additional power is needed.

A vehicle control device configured to perform control related to pickup and delivery by a vehicle. The vehicle is movable forward bi-directionally and includes package compartments on first and second sides. The vehicle control device is configured to perform operations including: acquiring position information of a target user point; acquiring position information of a target package compartment for storing a package to be delivered or picked up with respect to an advancing direction in which the vehicle travels toward the target user point; and outputting an instruction to reverse the advancing direction of the vehicle to a vehicle controller configured to perform traveling control of the vehicle in a case where a side of a side surface where the target package compartment is positioned and a side of the target user point with respect to the advancing direction of the vehicle do not coincide with each other.