IP Library Granted Patent US 11,472,633
Granted Patent B2
US 11,472,633 · App. 16/668,880 · Granted Oct 18, 2022

Systems and methods for processing objects including semi-autonomous stations and automated output processing

Inventors: Thomas Wagner (Concord, MA); Thomas Allen (Reading, MA); William Hartman Fort (Stratham, NH); Kyle Maroney (North Attleboro, MA); Samuel Naseef (Medford, MA); Andrew Gauthier (Somerville, MA); Kevin Ahearn (Nebo, NC); John Richard Amend, Jr. (Belmont, MA); Benjamin Cohen (Somerville, MA); Michael Dawson-Haggerty (Pittsburgh, PA); Christopher Geyer (Arlington, MA); Jennifer Eileen King (Oakmont, PA); Thomas Koletschka (Cambridge, MA); Matthew T. Mason (Pittsburgh, PA); William Chu-Hyon McMahan (Cambridge, MA); Gene Temple Price (Cambridge, MA); Joseph Romano (Arlington, MA); Daniel Smith (Canonsburg, PA); Siddhartha Srinivasa (Seattle, WA); Prasanna Velagapudi (Pittsburgh, PA)
Assignee: Berkshire Grey Operating Company, Inc.
B65G43/10
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Quick Facts
Patent No.
US 11,472,633
App. No.
16/668,880
Granted
Oct 18, 2022
Kind
B2
Abstract

A semi-autonomous processing system for processing objects is disclosed. The semi-autonomous processing system includes an input conveyance system for moving objects to a presentation area, a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area, at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions, and a manual workstation area between the perception area the at least two transport systems.

Claims (70)

1. A semi-autonomous processing system for processing objects, said semi-autonomous processing system comprising:

an input conveyance system for moving objects to a presentation area;

a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area;

at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions; and

a manual workstation area including a movable chair arranged between the detection area and the at least two transport systems, wherein the movable chair is actively moved to turn toward a designated chute that leads to one of the at least two transport systems responsive to the perception data from at least one of the perception units that is representative of an identity of the object.

2. The semi-autonomous processing system as claimed in claim 1 , wherein the semi-autonomous system includes no automated system for moving the object from the presentation area to either of the two transport systems.

3. The semi-autonomous system as claimed in claim 1 , wherein the detection area is above the presentation area.

4. The semi-autonomous processing system as claimed in claim 1 , wherein the perception system includes a depth detection system.

5. The semi-autonomous processing system as claimed in claim 4 , where the depth detection system is adapted to identify an object that is moving closer to the perception units.

6. The semi-autonomous processing system as claimed in claim 1 , wherein each transport system includes a reciprocating carriage.

7. The semi-autonomous processing system as claimed in claim 6 , wherein each reciprocating carriage of each transport system is configured to deliver the object to one of a plurality of destination stations.

8. The semi-autonomous processing system as claimed in claim 7 , wherein the plurality of destination stations associated with each of the at least two transport systems is provided as two rows of bins or boxes on either side of each transport system.

9. The semi-autonomous processing system as claimed in claim 8 , further comprising a plurality of input conveyors, wherein each row of the plurality of bins or boxes is provided on an input conveyor among the plurality of input conveyors.

10. The semi-autonomous processing system as claimed in claim 9 , wherein each input conveyor is gravity biased to urge the plurality of bins or boxes on the plurality of input conveyors to one side of the plurality of input conveyors.

11. The semi-autonomous processing system as claimed in claim 9 , further comprising a plurality of output conveyors and at least one bin displacement system for selectively urging a bin or box of the plurality of bins or boxes from one of the plurality of input conveyors onto one of the plurality of output conveyors.

12. The semi-autonomous processing system as claimed in claim 11 , wherein each output conveyor is gravity biased to urge the bin or box on the output conveyor to one side of the output conveyor.

13. A semi-autonomous processing system for processing objects, said semi-autonomous processing system comprising:

an input conveyance system for moving objects to a presentation area;

a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area; and

at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions, wherein the semi-autonomous system includes no automated system for moving the object from the presentation area to either of the two transport systems; and

a manual workstation area between the presentation area and the at least two transport systems, wherein the manual workstation area includes a movable chair that is adapted to move responsive to the perception data from at least one of the perception units that is representative of an identity of the object.

14. The semi-autonomous system as claimed in claim 13 , wherein the detection area is above the presentation area.

15. The semi-autonomous processing system as claimed in claim 13 , wherein the perception system includes a depth detection system.

16. The semi-autonomous processing system as claimed in claim 15 , where the depth detection system is adapted to identify an object that is moving closer to the perception units.

17. A method for providing semi-autonomous processing of objects, said method comprising:

moving objects on an input conveyance system to a presentation area;

providing perception data that is representative of an identity of an object in the presentation area;

activating a movable chair to turn from the presentation area toward a designated chute that leads to one of at least two transport systems responsive to the perception data;

receiving the object in the one of the at least two transport systems from an operator in the movable chair that places the object in the designated chute; and

moving the object in either of reciprocal directions of the transport system that receives the object.

18. The method as claimed in claim 17 , wherein the method further includes providing depth data from a depth detection system of an object in the presentation area.

19. The method as claimed in claim 18 , where the method further includes identifying the object that is moving closer to the perception units based on the depth data provided from the depth detection system.

20. The method as claimed in claim 17 , wherein each of the at least two transport systems includes a carriage and a track, and the method further comprising moving the carriage along the track to deliver the object to one of a plurality of destination locations disposed on along the sides of the track.

21. The method as claimed in claim 20 , wherein the object is delivered to one of the plurality of destination locations by rotating the carriage to dump the object into the destination location.

22. A semi-autonomous processing system for processing objects, said semi-autonomous processing system comprising:

an input conveyance system for moving objects to a presentation area;

a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area;

at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions; and

a manual workstation area between the detection area and the at least two transport systems; and

a plurality of input conveyors;

wherein each transport system includes a reciprocating carriage that is configured to deliver the object to one of a plurality of destination stations, wherein the plurality of destination stations associated with each of the at least two transport systems is provided as two rows of bins or boxes on either side of each transport system,

wherein each row of the plurality of bins or boxes is provided on an input conveyor among the plurality of input conveyors, and

wherein each input conveyor is gravity biased to urge the plurality of bins or boxes to one side of the plurality of input conveyors.

23. The semi-autonomous processing system as claimed in claim 22 , wherein the semi-autonomous system includes no automated system for moving the object from the presentation area to either of the two transport systems.

24. The semi-autonomous processing system as claimed in claim 22 , wherein the manual workstation area includes a movable chair.

25. The semi-autonomous processing system as claimed in claim 24 , wherein the movable chair is adapted to move responsive to the perception data from at least one of the perception units that is representative of an identity of the object.

26. The semi-autonomous system as claimed in claim 22 , wherein the detection area is above the presentation area.

27. The semi-autonomous processing system as claimed in claim 22 , further comprising a plurality of output conveyors and at least one bin displacement system for selectively urging a bin or box of the plurality of bins or boxes from one of the plurality of input conveyors onto one of the plurality of output conveyors.

28. The semi-autonomous processing system as claimed in claim 27 , wherein each output conveyor is gravity biased to urge the bin or box on the output conveyor to one side of the output conveyor.

29. The semi-autonomous processing system as claimed in claim 27 , wherein the perception system includes a depth detection system.

30. The semi-autonomous processing system as claimed in claim 29 , where the depth detection system is adapted to identify an object that is moving closer to the perception units.

31. A semi-autonomous processing system for processing objects, said semi-autonomous processing system comprising:

an input conveyance system for moving objects to a presentation area;

a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area;

at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions; and

a manual workstation area between the detection area and the at least two transport systems,

a plurality of input conveyors;

a plurality of output conveyors; and

at least one bin displacement system,

wherein each transport system includes a reciprocating carriage that is configured to deliver the object to one of a plurality of destination stations, wherein the plurality of destination stations associated with each of the at least two transport systems is provided as two rows of bins or boxes on either side of each transport system,

wherein each row of the plurality of bins or boxes is provided on an input conveyor among the plurality of input conveyors, and

wherein the at least one bin displacement system is configured to selectively urge a bin or box among the plurality of bins or boxes onto one of the plurality of output conveyors.

32. The semi-autonomous processing system as claimed in claim 31 , wherein the semi-autonomous system includes no automated system for moving the object from the presentation area to either of the two transport systems.

33. The semi-autonomous processing system as claimed in claim 31 , wherein the manual workstation area includes a movable chair.

34. The semi-autonomous processing system as claimed in claim 33 , wherein the movable chair is adapted to move responsive to the perception data from at least one of the perception units that is representative of an identity of the object.

35. The semi-autonomous system as claimed in claim 31 , wherein the detection area is above the presentation area.

36. The semi-autonomous processing system as claimed in claim 31 , wherein each input conveyor is gravity biased to urge the plurality of bins or boxes to one side of the plurality of input conveyors.

37. The semi-autonomous processing system as claimed in claim 31 , wherein each output conveyor is gravity biased to urge the bin or box on the output conveyor to one side of the output conveyor.

38. The semi-autonomous processing system as claimed in claim 31 , wherein the perception system includes a depth detection system.

39. The semi-autonomous processing system as claimed in claim 38 , where the depth detection system is adapted to identify an object that is moving closer to the perception units.

Assignments (3)
MERGER AND CHANGE OF NAME Recorded Feb 1, 2022
From: BERKSHIRE GREY, INC.; BERKSHIRE GREY OPERATING COMPANY, INC.
To: BERKSHIRE GREY OPERATING COMPANY, INC.
Reel/Frame 058947/0548 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE ADDRESS PREVIOUSLY RECORDED AT REEL: 051079 FRAME: 0850. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Feb 10, 2021
From: WAGNER, THOMAS; ALLEN, THOMAS; FORT, WILLIAM HARTMAN; MARONEY, KYLE; NASEEF, SAMUEL; GAUTHIER, ANDREW; AHEARN, KEVIN; AMEND, JOHN RICHARD, JR.; COHEN, BENJAMIN; DAWSON-HAGGERTY, MICHAEL; GEYER, CHRISTOPHER; KING, JENNIFER EILEEN; KOLETSCHKA, THOMAS; MASON, MATTHEW T.; MCMAHAN, WILLIAM CHU-HYON; PRICE, GENE TEMPLE; ROMANO, JOSEPH; SMITH, DANIEL; SRINIVASA, SIDDHARTHA; VELAGAPUDI, PRASANNA
To: BERKSHIRE GREY, INC.
Reel/Frame 055271/0407 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2019
From: WAGNER, THOMAS; ALLEN, THOMAS; FORT, WILLIAM HARTMAN; MARONEY, KYLE; NASEEF, SAMUEL; GAUTHIER, ANDREW; AHEARN, KEVIN; AMEND, JOHN RICHARD, JR.; COHEN, BENJAMIN; DAWSON-HAGGERTY, MICHAEL; GEYER, CHRISTOPHER; KING, JENNIFER EILEEN; KOLETSCHKA, THOMAS; MASON, MATTHEW T.; MCMAHAN, WILLIAM CHU-HYON; PRICE, GENE TEMPLE; ROMANO, JOSEPH; SMITH, DANIEL; SRINIVASA, SIDDHARTHA; VELAGAPUDI, PRASANNA
To: BERKSHIRE GREY, INC.
Reel/Frame 051079/0850 →
Continuity (2)
Provisional Application 62752607 · Oct 30, 2018
Related Publication 20200130951A1 · Apr 30, 2020
Cited By (4)
US 12,269,681 US 12,269,682 US 12,280,948 US 12,441,541