A9.com, Inc.

Amazon Technologies, Inc.

Karl McDowall

Joshua Bavari

Jonathan Mcqueen

Nima Keivan

Phillip Walkemeyer

Danny Sekich

Jacob Blacksberg

Andrew E Hoffman

Matthew Ventimiglia

David Hastings Kerr

An autonomous robot moves materials in a warehouse or other industrial environment. It runs on an electric motor powered by a rechargeable battery. When its battery becomes depleted, it maneuvers to a nearby charger. It guides itself to the charger using visual cues, such as a target on or near the charger, until it establishes a good electrical connection with the charger. Proximity sensors on the charger and/or the autonomous robot determine if the autonomous robot is positioned properly; if so, the charger begins charging the autonomous robot's battery. While charging, the charger monitors the resistance of the electrical connection for open- or short-circuit conditions. It also monitors the status of the proximity sensors. If the charger detects an open-circuit or a short-circuit or that the autonomous robot has moved away from the charger, the charger stops charging.

Charging systems and methods for autonomous carts

An autonomous robot with a modular conveyor belt moves materials in a warehouse or other industrial environment. Example embodiments may include systems and methods for autonomous robots with conveyor systems. An example method may include detecting, by an autonomous cart, an unloading station, moving to a position at or near the unloading station, and determining, using a first load cell, a first position of a first item on a conveyor belt of the autonomous cart. Some methods may include determining a length of time for which to actuate the conveyor belt based at least in part on the first position, and causing the conveyor belt to unload the first item from the autonomous cart by actuating the conveyor belt for the length of time.

Conveyor system for autonomous robot

Systems, methods, and computer-readable media are disclosed for systems and methods to implement preferred pathways in mobile robots. Example methods may include obtaining, via at least one of a user interface and a corresponding Application Programming Interface API call, at least one preferred pathway for an autonomous mobile robot, transmitting the at least one preferred pathway to the autonomous mobile robot, generating a planned path for the autonomous mobile robot based at least in part on an influence function, the influence function being representative of an amount of bias towards the at least one preferred pathway on a motion planning decision of the autonomous mobile robot, the amount of bias being based at least in part on a metric associated with the at least one preferred pathway, and causing the autonomous mobile robot to move from a start point to an end point along the planned path.

Systems and methods to implement preferred pathways in mobile robots

An autonomous robot with a modular conveyor belt moves materials in a warehouse or other industrial environment. Its load cells detect items on its conveyor belt and its cameras detect loading stations with stationary conveyor belts throughout the warehouse. It guides itself to a loading station using visual cues until it is close enough to load or unload items from its conveyor belt. The cart orients itself relative to the stationary conveyor belt based on the conveyor belt's direction of motion and tracks its position using wheel or visual odometry. It unloads by running the conveyor belt, which may be about 1.5 m long, at a speed of about 1 m/s for about 2 seconds. For loading, the cart detects an item on a stationary conveyor belt using a camera, positions itself next to the stationary conveyor belt, then triggers the stationary conveyor belt and its own conveyor belt to load the item.

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Boulder, CO, United States of America

Karl McDowall