IP Library Granted Patent US 11,842,315
Granted Patent B2
US 11,842,315 · App. 17/212,922 · Granted Dec 12, 2023

Systems and methods for autonomous lineside parts delivery to an assembly line process

Inventors: Ryan Christopher Gariepy (Kitchener, CA); Simon Drexler (Puslinch, CA); Roydyn Clayton (Seattle, WA); Sam Adrian Jenkins (Waterloo, CA); Pavel Bovbel (Kitchener, CA); Yvan Geoffrey Rodrigues (Guelph, CA)
Assignee: CLEARPATH ROBOTICS INC.
G06Q10/083G06Q10/06313
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Quick Facts
Patent No.
US 11,842,315
App. No.
17/212,922
Granted
Dec 12, 2023
Kind
B2
Abstract

Systems and methods for autonomous lineside delivery to an assembly-line using a self-driving vehicle are disclosed, comprising receiving a part-supply schedule having a part identifier identifying a part to be supplied, an assembly-line location to be supplied with the part, and a delivery time for supplying the part to the assembly-line location. A mission is generated based on the schedule, and sent to a self-driving vehicle. The self-driving vehicle executes the mission such that the part is supplied to the assembly-line location in accordance with the part-supply schedule.

Claims (68)

1. A method for autonomous lineside parts delivery to an assembly-line process, comprising:

receiving a part-supply schedule comprising a part identifier identifying a part to be supplied to the assembly-line process;

receiving one or more reference point locations, the one or more reference point locations identifying a location;

in response to receiving the one or more reference point locations, automatically generating at least one mission comprising picking up the part from a pick-up location and delivering the part to a drop-off location, wherein the drop-off location is associated with the assembly-line process and at least one of the pick-up location or drop-off location is associated with the one or more reference point locations, wherein the pick-up location is associated with a reference point location of the one or more reference point locations, and the part-supply schedule further comprises an assembly-line location in the assembly-line process to be supplied with the part, and generating the at least one mission further comprises:

selecting the pick-up location to be a location in proximity of the reference point location and accessible to the vehicle; and

selecting the drop-off location to correspond to the assembly-line location;

selecting a self-driving material-transport vehicle for executing the at least one mission;

receiving the at least one mission at a vehicle processor on the vehicle; and

executing the at least one mission with the vehicle to supply the part to the assembly-line process.

2. The method of claim 1 , wherein at least one reference point location of the one or more reference point locations is received from a user.

3. The method of claim 1 , wherein the reference point location associated with the pick-up location is one of a delivery-truck dock assigned to receiving the part or an inventory shelf location assigned for storing the part.

4. The method of claim 1 , wherein a fleet-management system generates the at least one mission, selects the vehicle for executing the at least one mission, and transmits the at least one mission to the vehicle.

5. The method of claim 1 , wherein executing the at least one mission by the vehicle comprises:

controlling, by the vehicle processor, the self-driving vehicle to drive to the pick-up location to pick-up the part; and

controlling, by the vehicle processor, the self-driving vehicle to drive to the assembly-line location to drop-off the part.

6. The method of claim 1 , wherein the part-supply schedule further comprises a delivery time for supplying the part to the drop-off location, and wherein generating the at least one mission comprises generating the mission to deliver the part to the drop-off location by the delivery time, and wherein executing the at least one mission comprises supplying the part to the drop-off location in accordance with the delivery time in the part-supply schedule.

7. A method for autonomous lineside parts delivery to an assembly-line process, comprising:

receiving a part-supply schedule comprising a part identifier identifying a part to be supplied to the assembly-line process;

after receiving the part-supply schedule, waiting to receive the one or more reference point locations, the one or more reference point locations identifying a location;

in response to receiving the one or more reference point locations, automatically generating at least one mission comprising picking-up the part from a pick-up location and delivering the part to a drop-off location, wherein the drop-off location is associated with the assembly-line process and at least one of the pick-up location or drop-off location is associated with the one or more reference point locations;

selecting a self-driving material-transport vehicle for executing the at least one mission;

receiving the at least one mission at a vehicle processor on the vehicle; and

executing the at least one mission with the vehicle to supply the part to the assembly-line process.

8. The method of claim 7 , wherein a fleet-management system generates the at least one mission, selects the vehicle for executing the at least one mission, and transmits the at least one mission to the vehicle.

9. The method of claim 7 , wherein executing the at least one mission by the vehicle comprises:

controlling, by the vehicle processor, the self-driving vehicle to drive to the pick-up location to pick-up the part; and

controlling, by the vehicle processor, the self-driving vehicle to drive to the assembly-line location to drop-off the part.

10. The method of claim 9 , wherein picking-up the part at the pick-up location further comprises:

scanning an area around the pick-up location, via one or more sensors coupled to the vehicle processor, to automatically locate the part identified in the part-supply schedule; and

in response to failing to locate the part:

detecting, via the one or more sensors, a visual indicia located on an object that is placed in proximity of the one or more sensors;

identifying, by the vehicle processor, a part identifier associated with the visual indicia;

determining that the part identifier matches the part identifier in the part-supply schedule; and

receiving the object on the vehicle.

11. The method of claim 9 , wherein the self-driving vehicle is located in an environment, and the method further comprises:

receiving an identification of a designated zone within the environment having one or more associated traffic conditions; and

determining a vehicle path in the environment, between the pick-up location and the assembly-line location, that accommodates the one or more associated traffic conditions in the designated zone.

12. The method of claim 7 , wherein the part-supply schedule further comprises a delivery time for supplying the part to the drop-off location, and wherein generating the at least one mission comprises generating the mission to deliver the part to the drop-off location by the delivery time, and wherein executing the at least one mission comprises supplying the part to the drop-off location in accordance with the delivery time in the part-supply schedule.

13. The method of claim 7 , wherein at least one reference point location of the one or more reference point locations is received from a user.

14. A system for lineside parts delivery to an assembly-line process, comprising:

a fleet-management system having a fleet-management processor configured to:

receive a part-supply schedule comprising a part identifier identifying a part to be supplied to the assembly-line process;

after receiving the part-supply schedule, wait to receive the one or more reference point locations, the one or more reference point locations identifying a location;

in response to receiving the one or more reference point locations, automatically generate at least one mission comprising picking-up the part from a pick-up location and delivering the part to a drop-off location, wherein the drop-off location is associated with the assembly-line process and at least one of the pick-up location or drop-off location is associated with the one or more reference point locations;

select a self-driving material-transport vehicle for executing the at least one mission; and

transmit the at least one mission to the vehicle; and

the self-driving vehicle having a vehicle processor configured to:

receive the mission; and

execute the at least one mission to supply the part to the assembly-line process.

15. The system of claim 14 , wherein at least one reference point location of the one or more reference point locations is received by the fleet-management processor from a user.

16. The system of claim 14 , wherein the pick-up location is associated with a reference point location of the one or more reference point locations, and the part-supply schedule further comprises an assembly-line location in the assembly-line process to be supplied with the part, and in generating the at least one mission, the fleet-management processor is further configured to:

select the pick-up location to be a location in proximity of the reference point location and accessible to the vehicle; and

select the drop-off location to correspond to the assembly-line location.

17. The system of claim 16 , wherein the reference point location associated with the pick-up location is one of a delivery-truck dock assigned to receiving the part, or an inventory shelf location assigned for storing the part.

18. The system of claim 14 , wherein executing the at least one mission comprises the vehicle processor being further configured to:

control the self-driving vehicle to drive to the pick-up location to pick-up the part; and

control the self-driving vehicle to drive to the assembly-line location to drop-off the part.

19. The system of claim 18 , wherein the vehicle further comprises one or more sensors coupled to the vehicle processor, and at the pick-up location the vehicle processor is further configured to:

scan an area around the pick-up location, via the one or more sensors, to automatically locate the part identified in the part-supply schedule; and

in response to failing to locate the part:

detect, via the one or more sensors, a visual indicia located on an object that is placed in proximity of the one or more sensors;

identify a part identifier associated with the visual indicia; and

determine that the part identifier matches the part identifier in the part-supply schedule.

20. The system of claim 18 , wherein the self-driving vehicle is located in an environment, and the fleet-management processor is further configured to:

receive an identification of a designated zone within the environment having one or more associated traffic conditions; and

determine a vehicle path in the environment, between the pick-up location and the assembly-line location, that accommodates the one or more associated traffic conditions in the designated zone; and

generate the at least one mission to include the vehicle path; and the vehicle processor is further configured to:

execute the at least one mission by controlling the vehicle to follow the vehicle path.

Assignments (4)
CORRECTIVE ASSIGNMENT TO CORRECT THE CONVEYING PARTY'S NAME FROM CLEARPATH ROBOTICS, INC. TO CLEARPATH ROBOTICS INC. (WITHOUT THE COMMA) PREVIOUSLY RECORDED ON REEL 67944 FRAME 916. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 25, 2024
From: CLEARPATH ROBOTICS INC.
To: ROCKWELL AUTOMATION, INC.
Reel/Frame 068233/0542 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: CLEARPATH ROBOTICS, INC.
To: ROCKWELL AUTOMATION, INC.
Reel/Frame 067944/0916 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: ROCKWELL AUTOMATION, INC.
To: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
Reel/Frame 067944/0982 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 21, 2021
From: GARIEPY, RYAN CHRISTOPHER; DREXLER, SIMON; CLAYTON, ROYDYN; JENKINS, SAM ADRIAN; BOVBEL, PAVEL; RODRIGUES, YVAN GEOFFREY
To: CLEARPATH ROBOTICS INC.
Reel/Frame 056599/0500 →
Continuity (3)
Continuation 15936977 · Mar 27, 2018
Provisional Application 62477047 · Mar 27, 2017
Related Publication 20210279670A1 · Sep 9, 2021