Devices, systems, and methods for autonomously stacking and compressing a plurality of unbound folded laundry articles in a packing queue are described. A method includes receiving output signal from one or more sensors determinative of the height of an unbound folded laundry article disposed on a conveyor configured to deposit the unbound folded laundry article atop one or more previously deposited one or more unbound folded laundry articles disposed on the packing queue platform; receiving an output signal determinative of a height of the previously deposited one or more unbound folded laundry articles; calculating a final stack height; depositing in a stack the folded laundry article atop the previously deposited one or more folded laundry articles upon determining the final stack height will not exceed a threshold height; and compressing the stack to a final stack height at or below the threshold height for compact loading into a container.

Disclosed are an aligning method, a controller, and material handling equipment. A major technical solution includes: acquiring target data of a first stacking object and a second stacking object by using a first sensor; extracting, from the target data, first target data of the first stacking object and second target data of the second stacked object; calculating a relative pose of the first stacking object relative to the second stacking object based on the first target data and the second target data; and controlling, based on the relative pose, material handling equipment to move, to align the first stacking object with the second stacking object. In the present disclosure, a relative pose between two stacking objects is corrected by simultaneously acquiring and processing target data of the two stacking objects, thereby significantly improving accuracy and efficiency of a stacking operation.

Disclosed are an aligning method, a controller, and material handling equipment. A major technical solution includes: acquiring target data of a first stacking object and a second stacking object by using a first sensor; extracting, from the target data, first target data of the first stacking object and second target data of the second stacked object; calculating a relative pose of the first stacking object relative to the second stacking object based on the first target data and the second target data; and controlling, based on the relative pose, material handling equipment to move, to align the first stacking object with the second stacking object. In the present disclosure, a relative pose between two stacking objects is corrected by simultaneously acquiring and processing target data of the two stacking objects, thereby significantly improving accuracy and efficiency of a stacking operation.

Disclosed are an aligning method, a controller, and material handling equipment. A major technical solution includes: acquiring target data of a first stacking object and a second stacking object by using a first sensor; extracting, from the target data, first target data of the first stacking object and second target data of the second stacked object; calculating a relative pose of the first stacking object relative to the second stacking object based on the first target data and the second target data; and controlling, based on the relative pose, material handling equipment to move, to align the first stacking object with the second stacking object. In the present disclosure, a relative pose between two stacking objects is corrected by simultaneously acquiring and processing target data of the two stacking objects, thereby significantly improving accuracy and efficiency of a stacking operation.

A method for determining material-cage stacking, a computer device, and a storage medium are provided. The method includes the following. A material-cage image is obtained by photographing a first stacking apparatus of a first material cage and a second stacking apparatus of a second material cage. The stacking apparatuses of the two material cages in the material-cage image can be recognized respectively with two detection models. The first stacking result is obtained by obtaining location information of the stacking apparatuses of the two material cages with the first detection model, and the second stacking result is obtained with the second detection model.