An apparatus for treating containers with a first treatment device configured to treat the containers in a predetermined first manner, with a transport device which transports the containers in a predetermined transport direction, wherein the transport device transports the containers in a transport stream extending in the transport direction, and with a reject device arranged after the first treatment device, which is configured to reject a plurality of containers arranged one after the other in the transport direction from the transport stream, wherein the apparatus has a second treatment device which is arranged before the first treatment device in the transport direction of the containers. The apparatus has a gap generating device which is arranged in front of the first treatment device in the transport direction of the containers and which generates at least one gap in the transport stream of the containers.

A method of sorting cargo using an automated guided vehicle is provided. The method of sorting cargo includes: recognizing the pieces of cargo; assigning a location of a carrier pocket into which the recognized cargo is loaded among the plurality of carrier pockets in the automated guided vehicle and a location of the destination chute from which the carrier pocket discharges the cargo; loading the cargo into the location of the assigned carrier pocket; for consecutively supplied pieces of cargo thereafter, repeatedly performing identifier information recognition of the cargo, location assignment, and cargo loading sequentially; sequentially discharging the pieces of cargo to the locations of the assigned destination chutes by allowing the automated guided vehicle into which all pieces of cargo are loaded to start and move along a movement path; and returning the automated guided vehicle after the automated guided vehicle has finished discharging.

A method and system for obtaining an identifier from an item is disclosed. The method includes autonomously operate a robotic structure to move an item along a predetermined path from a source location to a destination location, and autonomously operating the robotic structure to place the item at the destination location based at least in part on the plan. The item comprises one or more identifiers, and in response to a determination that at least one of the one or more identifiers was not obtained by one or more sensors, an active measure is performed to cause the one or more sensors to obtain the at least one identifier that was not obtained. The predetermined path corresponds to a path along which the item is moved from the source location to the destination location. The predetermined path is planned so that the item is moved within a threshold range of the one or more sensors while the item is moved along the predetermined path.

An apparatus and a method for grading sensitive products. The apparatus and a method treat the objects to be graded gently and is accurate and may be constructed so as to handle extremely large quantities. The grading device (1) has grading channels that are wider at the outlet than at the intake. A belt machine draws the objects forward between two inclined belts (6) which form the channel. The device and the method make possible to make corrections in the grading process and to fine-tune the grading unit during the grading process.

A system (10) for loading different conveying tracks (2, 3, 4) of at least one in particular commercial conveyor dishwasher (1, 1′). The system (10) includes a feed conveyor belt (11) for delivering washware (9a, 9b, 9c) to loading regions of the at least one conveyor dishwasher (1, 1′). The system (10) further includes a sorting arrangement for sorting the washware (9a, 9b, 9c) delivered to the loading regions of the at least one conveyor dishwasher (1, 1′) via the feed conveyor belt (11) according to previously defined or definable washware groups. The sorting arrangement is associated with at least one loading arrangement (13a, 13b, 13c) for automatically loading the different conveying tracks of the at least one conveyor dishwasher (1, 1′) with washware (9a, 9b, 9c) of one of the previously defined or definable washware groups.

A work cell and method for automatically separating objects disposed in 3D clusters includes dispensing the objects onto a horizontal conveying surface to form a 2D array, reforming the 2D array into a 1D stream in which the objects move in single-file in a predefined moving direction, utilizing a vision-based or other stationary sensing system to identify a selected target object in the 1D stream as the target object passes through an image capture (sensing) region, calculating trajectory data defining the target object's time-based position in the 1D stream, and then utilizing the trajectory data to control a robot arm or other object removal mechanism such that only the selected object is forcibly removed (e.g., swiped or picked-up) from the horizontal conveying surface. A continuous-loop-type conveying mechanism includes two parallel conveyor-belt-type conveying structures and associated belt-switching structures. An AI-powered vision system identifies new object shapes during preliminary learning phases.

The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.

Methods, apparatus, computing devices, computing entities, and/or the like associated with a robotic sortation system are provided. An example method may include receiving imaging data associated with a first item at a first sorting location of a material handling system, determining a sorting destination for the first item based at least in part on the imaging data, determining a plurality of first-tier robotic devices and a plurality of second-tier robotic devices based at least in part on the first sorting location and the sorting destination, and generating a first sortation scheme for the first item.

A sheet material machining system includes a sheet material machining machine which is configured to machine a workpiece to produce a machined workpiece that includes a plurality of products and a residual material. The machined workpiece is configured to be placed on a sorting table. The plurality of products are configured to be placed on a temporary placement table. At least one product among the plurality of products are configured to be placed on a discharge table. A carrier includes an attracting actuator and a mobile actuator. The order management processor is configured to control the carrier and includes a storage configured to memorize a layout of the plurality of products in the workpiece. The plurality of products are associated with an attracting order.

The present invention relates to an inspection system for confirming whether a capsule is defective and, more particularly, a large quantity of capsules flowing in from the outside is randomly supplied to a moving part by means of a hopper part, the moving part transfers, to a discharge part by means of a plurality of rollers, the large quantity of capsules fed by means of the hopper part so that a controller can distinguish between the good-quality and defective capsules on the basis of an image captured by means of a vision part and discharge same, a gap is formed between the rollers so that the plurality of fed capsules are randomly loaded and horizontally aligned in the gap, and the vision part can capture still images of the rotating capsules that are horizontally aligned and loaded in the gap, while the rollers rotate/stop through a driving part according to the repeated going/stopping of the moving part.