The present application discloses a system, a method, and a computer system for detecting objects that require special handling. The method includes (i) receiving image data from one or more cameras associated with a source conveyor configured to convey items to a pick location, (ii) determining, based at least in part on the image data, that an item requiring special handling has entered the source conveyor, and (iii) providing an output indicating that the item requiring special handling has been detected.

The present application discloses a system, a method, and a computer system for correlating information to facilitate automated sortation. The method includes (i) receiving, by one or more processors, a first optical sensor data comprising a first element of routing data required to route an item but not a second element of routing data required, in addition to the first element, to route the item, (ii) obtaining the second element of routing data from a second optical sensor data, and (iii) causing the item to be routed based at least in part on the first element of routing data and the second element of routing data.

An item sorting system is described. The item sorting system includes at least one bin that holds items to be sorted and a light source that illuminates the items stored in the at least one bin. In implementations, the at least one bin includes walls that direct light, received from the light source via a first surface, for emission via a second surface facing an interior of the at least one bin. The item sorting system further includes a recognition device that identifies the items for use in sorting the items. The item sorting system further includes an end effector that manipulates the items during sorting. In some implementations, the end effector includes tips that apply a gentle vacuum force to individually manipulate items in a manner that allows for efficient sorting without damaging the items.

A robotic singulation system is disclosed. In various embodiments, sensor data including image data associated with a workspace is received. The sensor data is used to generate a three dimensional view of at least a portion of the workspace, the three dimensional view including boundaries of a plurality of items present in the workspace. The three dimensional view as generated at successive points in time is used to model a flow of at least a subset of said plurality of items through at least a portion of the workspace. The model is used to determine and implement a plan to autonomously operate a robotic structure to pick one or more items from the workplace and place each item singly in a corresponding location in a singulation conveyance structure.

The present application discloses a method, system, and computer system for sequencing a set of objects to be loaded into a transport container. The method includes (i) receiving an indication of the set of objects to be loaded into the transport container for transport from a source location to a destination location, (ii) determining, based at least in part on object information corresponding to the set of objects and resources available to load the set of objects, a sequence according to which the set of objects are to be loaded into the transport container, and (iii) providing the sequence to a robotic system to implement in connection with loading the set of objects to the transport container.

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 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.

This application provides a transfer device, a robot, a sorting system, and sorting methods. The transfer device is applied to equipment on which multiple logistics crates are placed in a first direction. There are at least two transfer devices provided in the first direction of the equipment. The transfer device includes a supporting base and a first transmission assembly. The first transmission assembly is located on the supporting base. The first transmission assembly transports a logistics crate. The transfer device provided in this application can improve the work efficiency of the equipment.

A sorting system includes a first number of entry points configured to provide sorting goods. The sorting system further has a second number of terminal points configured to receive the sorting goods, and a third number of driverless sorting vehicles configured to transport the sorting goods between the first number of insertion points and the second number of terminal points. Further, a control device is provided, configured to control the driverless sorting vehicles between the first number of insertion points and the second number of terminal points.

An automated sorting and packing system is described. In an example implementation, the system may include a transfer station that transfers an item into a shipping carton, one or more conveyors that convey the item and/or carton to a transfer station, a scanner that scans the item, and a processor communicatively coupled with the scanner and the one or more conveyors. According to some implementations, the system may perform operations including determining a carton identifier associated with a carton based on an order, assigning a transfer station to the order and the carton identifier based on scan data identifying an item, transporting the item to the transfer station using a conveyor, and transferring the item from the conveyor to a carton associated with the carton identifier using the transfer station.