An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

A cell sorting system that automatically generates a sorting strategy based on examples of target events provided by an operator. The target events can be selected using measurements ranging from traditional flow cytometry measurements to derived measurements that are computationally expensive to complex measurements such as images.

An automated object sorting system is provided. In various embodiments, the automated object sorting system includes an automated object extraction assembly and an automated object collection assembly. The automated object extraction assembly extracts one or more objects from an object sorting tray based on one or more attributes and/or traits of interest. The automated collection assembly selectively deposits the extracted objects in selected collection receptacles according to the particular attributes and/or traits of each respective object.

The present invention relates to systems and methods for sorting a wide variety of packages, including, but not limited to, parcels, mail pieces, bundles, and other similar items. Embodiments of the invention specifically relate to interchangeable sorting modules with sort stations that may be used to quickly and accurately sort packages of varying shapes and sizes. Additional embodiments of the invention relate to a control architecture for operating the aforementioned interchangeable sorting modules. Such control architecture may comprise a programmable logic controller (PLC) for controlling each of the interchangeable sorting modules.

Disclosed is a system and method for sorting copper-bearing ore to select portions having a target copper content. The system includes an analysis and selection station including first magnetic resonance analyzer measuring the copper content of input ore and a controlled diverter to divert portions of the input ore to a collection path when the copper content meets or exceeds a predetermined cut-off value. The predetermined cut-off is adjusted by a controller in response to the first magnetic resonance analyzer. A second magnetic resonance analyzer measures the copper content of the ore in a product path. That measurement is fed back to the controller to fine tune the adjusted cut-off value above, up or down, to optimize the yield of ore having the targeted copper content. The system may include a station for sizing the input ore, a station for sizing the output ore, and a station for sizing waste produced by the system.

A cell sorting system that automatically generates a sorting strategy based on examples of target events provided by an operator. The target events can be selected using measurements ranging from traditional flow cytometry measurements to derived measurements that are computationally expensive to complex measurements such as images.

A shape packing technique is introduced that can be applied in various applications such as automated print production. In an example embodiment, items that are to be placed into a target shape are sorted based on size to form item groups that include similarly sized items. Potential blocks including arrangements of one or more items are created from the sorted item groups. A placement solution is then generated by placing the potential blocks in the target shape using a recursive process that avoids redundant placement solutions until all of the potential blocks are placed or no other potential blocks are able to be placed. The placement solution can then be utilized, for example, to control a printer to print multiple images on a substrate and/or to control an automated cutting device to cut the substrate into multiple partitions according to the placement solution.

An automated carrier system is disclosed for moving objects to be processed. The automated carrier system includes a base structure of a carrier on which an object may be supported, and at least two wheels mounted to at least two motors to provide at least two wheel assemblies, the at least two wheel assemblies being pivotally supported on the base structure for pivoting movement from a first position to a second position to effect a change in direction of movement of the carrier.

A multi-level induction station is disclosed. The multi-level induction station includes multiple sorting levels arranged in a vertical stacked configuration; a vertically traveling automated lift that carries articles vertically between the sorting levels along a frame positioned proximate to the multiple sorting levels; an information acquisition device positioned to read information from an article on the lift; multiple transport devices positioned on the sorting levels to receive the articles; and a control system that directs the multi-level induction station to determine a destination for an article and direct the lift to a platform where a transport device is at an article-receiving position at the sorting level to receive the article.

A robot system for picking randomly shaped and sized object from a continuously moving stream of objects in bulk, e.g. a 3D bulk, and placing the object singulated and aligned on an induction or directly on a sorter. A pick and place robot has a robotic actuator for moving a gripper with a controllable gripping configuration of its gripping members, e.g. four suction cups, to adapt the gripper for various objects. A control system processes a 3D image of objects upstream of a position of the pick and place robot, identifies separate objects in the 3D image, and selects which object to grip, based on parameters of the identified separate objects determined from the 3D image. Based on e.g. size and shape of the selected object to grip, the gripping configuration of the gripper is adjusted to match the surface of the object to grip for optimal gripping. The robotic actuator, e.g. a gantry type robotic actuator, is then controlled to move the gripper to a position for gripping the object, and afterwards move the gripper with the gripped object to a target position and with a target orientation to release grip of the object and thus place the object on an induction or directly on a sorter. An image after placing the object along with properties of the object determined from the 3D image can be used as input to a machine learning for online improving pick and place performance of the robot system, e.g. for online improving the algorithm for selection of which object to pick, and also for selection of the appropriate gripping configuration to match the object.