6 River Systems, Inc.

Ocado Innovation Limited

Catherine Jones Franey

Jeffrey Scott Larson

Timothy Deignan

Jeffrey Choate

Nikita Ivanov

Disclosed are systems and methods for dynamically routing pickers and autonomous vehicles to avoid areas closed to travel by the autonomous vehicles within a warehouse. A processor in communication with an autonomous vehicle and an electronic device operated by a user (e.g., handheld device) may, in response to detecting that the electronic device diverges from a path of the autonomous vehicle, provide, for display on the electronic device, information about the product. The processor may then determine a rendezvous location for the autonomous vehicle based on a location of the product. The processor may then instruct the autonomous vehicle to navigate to the rendezvous location and transmit the rendezvous location to the electronic device.

Dynamic routing of autonomous vehicles

Disclosed are systems and methods for identifying an available product for an unavailable product to minimize a deviation or distance from an original planned pick path. A computer can transmit instructions corresponding to a path through a location where products are stored to collect a plurality of products stored at locations along the path. In response to receiving a notification for a particular product that the particular product is not at the location where it is stored, the computer can modify the path to include a location of a substitute product for the particular product. The computer can identify a substitute product for the particular product based on a distance from a location of the one more available products to a location along the path and determine a revised path with the substitute product. The path can be revised to include the location for the available product.

Systems and methods for determining dynamic substitutions to minimize distance

Disclosed are systems and methods for dynamically re-routing a pick path to an alternate pick location in response to identifying a shorted product at a pick location. The dynamic decision to re-route an autonomous vehicle is based on completion scores representing a likelihood of completing order in an autonomous vehicle, a maximum remaining time, an additional pick time, and order priorities. Based on various weights for factors of the orders, a system may re-route the autonomous vehicle to fulfill a shorted order at an alternate location when no orders have a high likelihood of completion, the additional pick time associated with re-routing the autonomous vehicle to the alternate pick location is less than the maximum remaining time for each order on the autonomous vehicle, and/or none of the orders on the autonomous vehicle have a higher priority than the shorted order.

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Waltham, MA, United States of America

Catherine Jones Franey