A vacuum cup damage detection system detects vacuum cup damage or absence in a robot singulator including a vacuum-based end effector with one or more vacuum cups. The system generally comprises a plate and a control subsystem. The plate provides a potential point of engagement for the one or more vacuum cups of the vacuum-based end effector when the robot singulator is moved to a predetermined position in which, if present, at least one of the one or more vacuum cups of the vacuum-based end effector is in contact with the plate. The control subsystem includes: one or more sensors configured to obtain readings indicative of the engagement of the one or more vacuum cups with the plate or lack thereof; and a controller configured to determine whether any one of the vacuum cups is damaged or missing based on the readings obtained by the one or more sensors.

A transfer operation control unit changes, according to an operating state index indicating a level of an operating state of a plurality of transport vehicles (1) present on a travel path, a setting of a transfer operation such that a required transfer time (Tr) from start to completion of the transfer operation is increased as the level of the operating state is reduced, while maintaining at least one setting of a traveling speed of the transport vehicles (1).

A method for forming aggregates of food pieces by arranging a plurality of food pieces such that the food pieces at least partially overlap one another is provided. The method automatically changes the number of food pieces forming each aggregate and a pitch at which the food pieces are arranged so as to limit the weights of the aggregates within a predetermined permissible range and to form each aggregate such that the total length of the aggregate is a preset length. The method also automatically changes the number of food pieces forming each aggregate and the pitch at which the food pieces are arranged according to the length of the food piece in the arrangement direction.

A method for picking objects is specified, in which at least one object is removed from a source loading aid and placed into a target loading aid using a robot. After the operation of removing the object, a first sensor system of the robot is used to check whether at least one object is held by the robot. A number and/or a type of the at least one removed object is ascertained using the second sensor system. The operation of placing the at least one object into the target loading aid is aborted or modified if no object is held by the robot or the number and/or the type of the at least one removed object does not contribute to completing the picking order, which defines a desired number and/or desired type of objects in the target loading aid. Furthermore, a device and a computer program product for performing the presented method is specified.

Embodiments of the present disclosure generally relate to optical devices. More specifically, embodiments described herein relate to apparatuses and methods for gripping optical devices. In an embodiment, an apparatus for gripping an optical device includes a base coupled to a proximal end of a stem extending from a bottom surface of the base. The apparatus also includes a plurality of arms movably coupled to the bottom surface of the base. The plurality of arms are coupled to an actuator operable to move the plurality of arms laterally along a X-Y plane parallel to the bottom surface of the base. In some embodiments, the apparatus includes a suction pad operable to provide a noncontact vertical suction force.

A picking system is configured to pick items from, and put items into, storage containers. The picking system includes a picking station. The picking station includes: a picking system controller configured to receive product orders from a warehouse management system; at least one container contents handling position; a camera configured to produce an image of contents of a storage container; an image processing system in communication with the camera for processing the image produced by the camera in order to identify a position of a specific item in the storage container, and a robotic picking device. The image processing system is further in communication with a picking system controller and is adapted to inform the picking system controller of the position of the specific item. The robotic picking device is in communication with the picking system controller and is configured to, under guidance from the picking system controller, to pick said specific item from said position in the storage container. The camera and the robotic picking device are arranged to operate, at any one instance, on different containers such that the camera is producing an image and the image processing system is processing the produced image of the contents of a storage container in a first product order while the robotic picking device is handling a second storage container on the basis of an earlier image that has been produced by the camera and processed by the image processing system.

A method in which a probability of the occurrence of a disruption is issued and/or a measure is initiated which reduces the probability of the occurrence of this disruption if the occurrence of a disruption is probable, bases the probability on unit load properties of a conveyed unit load. In this method, the transport of this unit load is classified with regard to whether or not a disruption occurs during the transport of this unit load. The unit load properties are fed into a learning algorithm together with the transport classification. By repeating the steps for a number of unit loads, the probability of the occurrence of a disruption during the transport of the unit loads can be computed. Further, a picking system carries out the method presented.

The present disclosure provides a rain-guard device for a nozzle that can prevent the cargo being loaded aboard from getting wet with rainwater. A nozzle rain-guard device 30 has a nozzle cover 31, which covers an outer periphery of a nozzle 8 of a shiploader 1, and a chute cover, which is provided in a lower end part of the nozzle 8, and covers a chute 22 provided on a hatch opening 13 from above.

A storage device (1′) for storing transport units (3′) includes a number of transport units (3′), a number of storage lines (12a′-12g′) which are configured to store transport units (3′), a feeding line (11′) which is connected by a respective first switch point (111′) to the storage lines (12a′-12g′), a measuring device (15′) which is arranged on the feeding line (11′) and which is configured to determine a respective extent of a transport unit (3′), and a controller (16′) which is connected to the measuring device (15′) and to the first switch pointes (111′) and which is configured to select a storage line (12a′-12g′) for storing the transport unit (3′) on the basis of the extent of the transport unit (3′) determined by the measuring device (15′).

Methods and systems for automated detection of carton damage are disclosed. One method includes capturing one or more images of a carton via a camera system at a routing location within a warehouse of a retail supply chain, and applying a machine learning model to determine a likelihood of damage of the carton. The method can include, based on the likelihood of damage being above a particular threshold, identifying the carton as damaged. A carton assessment record can be stored in a carton damage tracking database, including the one or more images of the carton alongside the likelihood of damage and the routing location.