Dynamic allocation and coordination of auto-navigating vehicles and selectors

Patent metadata

Field	Value
Publication number	US-12560925-B2
Application number	US-202318199052-A
Country	US
Kind code	B2
Filing date	May 18, 2023
Priority date	Jun 4, 2019
Publication date	Feb 24, 2026
Grant date	Feb 24, 2026

Abstract

Dynamic allocation and coordination of auto-navigating vehicles uses robotic vehicles and centrally dispatched roaming order selectors to create a significantly more efficient, yet flexible, approach to picking goods within a warehouse. Robotic vehicles are configured to be loaded with goods from pick faces to fill orders. Each robotic vehicle follows a route that includes appropriate pick face locations. The robotic vehicles navigate from pick face to pick face where particular goods are located. Order selectors are dynamically and independently dispatched to meet the robotic vehicles at their pick face locations to load goods. Movement of the order selectors is orchestrated to increase efficiency in the order filling process within the warehouse.

First claim

What is claimed is:

1 . An electronic travel management method, comprising:
providing a management system in communication with a plurality of robotic vehicles and a plurality of mobile selector units, each robotic vehicle executing a route and each mobile selector unit having a wireless communication device, wherein each route comprises a pick list identifying pick locations of items to be picked to fulfill an order; and the management system orchestrating deployment and redeployment of the mobile selector units in real or near-real time with travel of the plurality of robotic vehicles, including:
tracking locations and movement of the robotic vehicles along their respective routes;
tracking locations of the mobile selector units;
estimating time of arrival to a next location of a robotic vehicle by the mobile selector units to orchestrate travel among the mobile selector units and the plurality of autonomous vehicles; and
directing the mobile selector units to future locations of the robotic vehicles based on locations of the robotic vehicles, routes of the robotic vehicles, and locations of the mobile selector units,
wherein future locations of the robotic vehicles include future pick locations of the respective robotic vehicle routes.

2 . The method of claim 1 , wherein routes of one or more of the plurality of robotic vehicles passes through a plurality of pick zones and the method includes confining travel of at least one of the mobile selector units to a subset of the plurality of pick zones.

3 . The method of claim 1 , wherein routes of one or more of the plurality of robotic vehicles passes through a plurality of pick zones and the method includes confining travel of at least one of the mobile selector units to one of the plurality of pick zones.

4 . The method of claim 1 , wherein directing the mobile selector units to future locations of the robotic vehicles includes communicating navigation instructions to at least one of the mobile selector units.

5 . The method of claim 4 , further comprising outputting the navigation instructions to at least one of the mobile selector units as text, a dynamically updated map of the facility, and/or audio.

6 . The method of claim 4 , further comprising outputting the navigation instructions within the context of a map or other representation of a warehouse facility.

7 . The method of claim 1 , wherein orchestrating travel further comprises automatically performing congestion avoidance analysis based on locations of one or more of the mobile selector units and locations and/or next pick locations of one or more of the plurality of robotic vehicles.

8 . The method of claim 7 , further comprising directing travel of one or more of the plurality of robotic vehicles based, at least in part, on the congestion avoidance analysis.

9 . The method of claim 7 , further comprising directing travel of one or more of the mobile selector units based, at least in part, on the congestion avoidance analysis.

10 . The method of claim 7 , further comprising directing travel of one or more of the mobile selector units and one or more of the plurality of robotic vehicles based, at least in part, on the congestion avoidance analysis.

11 . The method of claim 7 , further comprising performing the congestion avoidance also based on other potential sources of congestion including humans, other vehicles, hazards, mobile equipment, and/or a dynamically updated map.

12 . The method of claim 7 , further comprising performing the congestion avoidance also based on other travel speeds of the one or more of the mobile selector units and/or the one or more of the plurality of robotic vehicles.

13 . The method of claim 7 , further comprising performing the congestion avoidance also based on routes of the one or more of the plurality of robotic vehicles.

14 . The method of claim 1 , wherein the plurality of robotic vehicles includes an autonomous forklift, high-lift, and/or pallet truck.

15 . The method of claim 1 , wherein one or more of the mobile selector units take the form of a handheld mobile terminal.

16 . The method of claim 1 , wherein one or more of the mobile selector units take the form of a mobile phone or tablet.

17 . The method of claim 1 , wherein one or more of the mobile selector units take the form of a vehicle-based mobile terminal.

18 . The method of claim 1 , wherein orchestrating travel further comprises reducing travel distances and/or travel times of the mobile selector units and/or the robotic vehicles.

19 . The method of claim 1 , wherein orchestrating travel further comprises dynamically determining and wirelessly communicating next navigation instructions to the plurality of mobile selector units based, at least in part, on changes in the locations of the mobile selector units and/or the robotic vehicles.

20 . The method of claim 1 , wherein one or more of the mobile selector units is a mobile selector robot.

Assignees

• Seegrid Corp

Inventors

• Sellner Brennan

Classifications

• G06Q10/08743

  using optimisation of routes · CPC title

• G06Q10/08744

  by distributed inventory management · CPC title

• G06Q10/087

  Inventory or stock management, e.g. order filling, procurement or balancing against orders · CPC title

• G06Q10/08

  Logistics, e.g. warehousing, loading or distribution; Inventory or stock management · CPC title

• G06Q10/047

  Optimisation of routes or paths, e.g. travelling salesman problem · CPC title