Automated warehousing using robotic forklifts or other material handling vehicles
Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).
1. A system for automated inventory management and material handling, comprising:
a plurality of robotic material handling and delivery vehicles, each including:
a) drive-by-wire operation with automated and manual controls,
b) a location determining subsystem,
c) a proximity obstacle detection and avoidance subsystem,
d) a subsystem to support automatic traversal from a pick-up location to one or more drop-off locations using a warehouse or yard map;
an inventory request manager in communication with the plurality of robotic material handling and delivery vehicles;
wherein the inventory request manager is operative to generate mission plans for the vehicles that include vehicle selection and vehicle scheduling; and
wherein the robotic material handling and delivery vehicles are operative to execute the mission plans by:
comparing points generated by the mission plan based on warehouse or yard map to an actual vehicle position using the location determining subsystem, and
incrementally bring the actual, measured vehicle location successively closer to plan-generated locations based upon the comparison.
2. The system of claim 1 , wherein the mission plans include monitoring and reporting of vehicle status.
3. The system of claim 1 , wherein the mission plans include load pick-up and delivery events.
4. The system of claim 1 , wherein the storage facility is a warehouse.
5. The system of claim 1 , wherein the robotic material handling and delivery vehicles obey human-like driving rules.
6. The system of claim 5 , wherein the human-like driving rules include rules regarding the following:
stopping and proceeding through intersections,
maintain spacing between vehicles,
avoiding obstacles and pedestrians, and
speed limits.
7. The system of claim 5 , wherein the human-like driving rules include rules regarding the following:
load management,
load stability control, and
recognition of destination points where events such as manual or automated loading or unloading may be performed.
8. The system of claim 1 , wherein the robotic material handling and delivery vehicles further include multiple, vehicle-mounted sensors that combine global positioning satellite (GPS) geolocation and inertial sensing to determine vehicle location relative to the stored map data.
9. The system of claim 1 , wherein location determining subsystem uses one or more of the following to determine the actual location:
computer-readable codes encoding mission-useful information,
image or video features associated with map locations,
image or video features enabling a vehicle to identify or locate doors, openings, or shelving unit on a map, or
image or video features enabling a vehicle to identify or locate target pick-and-place locations using templates or models.