Provided are systems and methods for identifying, isolating, and/or aligning sheets. An identification system can facilitate accurate identification of a sheet by (i) vacating one or more components of the system that are not the sheet from a zone of detection, and/or (ii) determining a reference axis of the sheet. An isolation system can facilitate accurate isolation of a sheet by (i) providing targeted air flow, and/or (ii) introducing a wave into the sheet. Identification systems and/or isolation systems described herein may facilitate isolation of sheets that were previously fastened together by one or more fasteners. An alignment system can facilitate accurate alignment of a first sheet at an upstream location relative to a second sheet at a downstream location via machine learning.

Devices, systems, and methods for autonomously packing folded laundry articles into a container are described. A packing system includes a refillable cartridge, a queue conveyor having one or more folded laundry articles and stacks of folded laundry articles disposed thereon, at least one retractable conveyor loading end between the refillable cartridge and the queue conveyor for loading the folded laundry articles into the refillable cartridge, a driven lifter for selectively raising and lowering the into and out of the container, and a controller in operative configuration with processors and drives of all of the foregoing and one or more sensors detecting a fill height of the refillable cartridge. The refillable cartridge includes a removable receiving surface that moves from a closed position to an open position during loading of the folded laundry by the retractable conveyor and unloading of the folded laundry into the container.

A soft package includes a package body made of a soft deformable material, and a plurality of rigid gripping components disposed at periphery or corners of the package body. Each of the rigid gripping components includes a rigid ring structure configured to be gripped by a robot device. A robot system may be used to process the soft package, by controlling a computer vision system of the robot system to capture images of the soft package, processing the images of the soft package to recognize the locations of the rigid gripping components, and controlling the robot devices of the robot system to grasp the rigid gripping components.

The invention relates to an optimization method for improving the reliability of a collection and discharge of articles in a picking process using a robot. An article is collected from or out of a first article carrier and is placed down or thrown into or onto a second article carrier by means of a gripping unit on the robot head. In an image processing step, a gripping position for the gripping unit is calculated for collecting the article(s) by determining at least one dimension based on a captured image and by a range allocation being determined by means of a comparison with dimension ranges. Depending on a confidence value, a dimension value is determined, from stored article reference data or from a normalization value of the dimension range and allocated to the determined dimension. In a preparation step, a mathematical scattering measure function is applied for the determined dimension and for the dimension ranges, and normalization values and confidence values of the dimension ranges are determined therefrom.

Provided are systems and methods for identifying, isolating, and/or aligning sheets. An identification system can facilitate accurate identification of a sheet by (i) vacating one or more components of the system that are not the sheet from a zone of detection, and/or (ii) determining a reference axis of the sheet. An isolation system can facilitate accurate isolation of a sheet by (i) providing targeted air flow, and/or (ii) introducing a wave into the sheet. Identification systems and/or isolation systems described herein may facilitate isolation of sheets that were previously fastened together by one or more fasteners. An alignment system can facilitate accurate alignment of a first sheet at an upstream location relative to a second sheet at a downstream location via machine learning.

Devices, systems, and methods for repositioning a deformable laundry article are described. For example, a robotic device includes a conveyor configured to transfer the deformable laundry article outside of a work volume, two or more lifters including grippers individually anchored about the perimeter of the work volume, two or more sensors disposed at fixed locations about the work volume, and a memory storing data indicative of repositioned deformable laundry articles. A controller is in operative communication with the memory, the two or more sensors, and the two or more lifters. The controller is configured to receive a signal from the sensors, identify grip points on the deformable laundry article suspended above the conveyor, instruct a lifter to grip and lift an identified grip point to the suspension height, determine whether the deformable laundry article is repositioned, and instruct the lifters to lower the repositioned deformable laundry article onto the conveyor.

Devices, systems, and methods for repositioning a deformable laundry article are described. For example, a robotic device includes a conveyor configured to transfer the deformable laundry article outside of a work volume, two or more lifters including grippers individually anchored about the perimeter of the work volume, two or more sensors disposed at fixed locations about the work volume, and a memory storing data indicative of repositioned deformable laundry articles. A controller is in operative communication with the memory, the two or more sensors, and the two or more lifters. The controller is configured to receive a signal from the sensors, identify grip points on the deformable laundry article suspended above the conveyor, instruct a lifter to grip and lift an identified grip point to the suspension height, determine whether the deformable laundry article is repositioned, and instruct the lifters to lower the repositioned deformable laundry article onto the conveyor.

Devices, systems, and methods for autonomously queueing a plurality of folded household laundry articles in a packing queue are described. A packing system includes a rotating platform configured to rotate a folded laundry article for directional placement in the packing queue, at least one packing queue platform receiving the folded laundry article into a packing queue disposed thereon, and a double ended conveyor. The double ended conveyor includes a retrieving end and a depositing end. The conveyor is configured to be mounted to a gantry for traveling along the length of the queue platform and cantilevering the retrieving end over the rotating platform for retrieving the folded laundry article and the depositing end over the packing queue platform for depositing the folded laundry article onto either a surface of the packing queue platform or another folded laundry article of the plurality of household laundry articles.

Devices, systems, and methods for repositioning a deformable laundry article are described. For example, a robotic device includes a conveyor configured to transfer the deformable laundry article outside of a work volume, two or more lifters including grippers individually anchored about the perimeter of the work volume, two or more sensors disposed at fixed locations about the work volume, and a memory storing data indicative of repositioned deformable laundry articles. A controller is in operative communication with the memory, the two or more sensors, and the two or more lifters. The controller is configured to receive a signal from the sensors, identify grip points on the deformable laundry article suspended above the conveyor, instruct a lifter to grip and lift an identified grip point to the suspension height, determine whether the deformable laundry article is repositioned, and instruct the lifters to lower the repositioned deformable laundry article onto the conveyor.

A robotic system includes a movable platform disposed at a bottom of a work volume, the movable platform being configured to transit outside the work volume, at least three lifters disposed about a perimeter of the work volume, two or more sensors disposed at fixed locations about the work volume, and a memory including a neural network. A controller is in operative communication with the memory, the two or more sensors, and the lifters. The controller is configured to receive output signals from the two or more sensors, determine, based processing on the received signals with the neural network, whether the deformable laundry article suspended by two lifters is repositioned, and instruct, based on a determination of the deformable laundry article being repositioned, the lifters to lower the repositioned deformable laundry article onto the movable platform.