Abstract: An efficient material recovery facility is disclosed, including: a first sorting device configured to: process a first instruction to remove a first target item from a set of items; and in response to the first instruction, perform a first sorting action to remove the first target item from the set of items, wherein the set of items excluding at least the first target item is to be transported towards a second sorting device, wherein the second sorting device is associated with a same sorting device type as the first sorting device; and wherein the second sorting device is configured to perform a second sorting action to remove a second target item from the set of items excluding at least the first target item in response to receiving a second instruction to remove the second target item.

Abstract: Systems and methods for vacuum extraction for material sorting applications are provided. In one embodiments, a vacuum object sorting system comprises: a vacuum extraction assembly that includes at least one vacuum extractor device having an inlet and an outlet, wherein the at least one vacuum extractor device is configured to convert a controlled compressed air stream into a channeled vacuum airflow entering the inlet and exiting the outlet; and an object recognition device coupled to sorting control logic and electronics, wherein the controlled compressed air stream is controlled in response to a signal generated by the object recognition device; wherein the at least one vacuum extractor device is configured to capture a target object identified by the sorting control logic and electronics utilizing the channeled vacuum airflow, and further utilizing the channeled vacuum airflow, to pass the target object through the inlet and outlet to a deposit location.

Abstract: Object path planning in a sorting facility is disclosed, including: obtain data describing a trajectory associated with a target object; generate a control signal for a sorting device to perform a sorting operation on the target object based at least in part on the trajectory associated with the target object; and provide the control signal to the sorting device, wherein the sorting device is configured to execute the control signal with respect to the target object.

Abstract: A controllable array sorting device is disclosed, including: an array of diverting mechanisms; and a processor coupled to the array of diverting mechanisms, wherein the processor is configured to: process an instruction to perform a sorting action on a target item, wherein the instruction specifies a selected at least subset of the array of diverting mechanisms to use to perform the sorting action; and in response to the instruction, cause the selected at least subset of the array of diverting mechanisms to perform the sorting action on the target item.

Abstract: Pick quality determination is disclosed, including: using a pressure meter to sense a pressure associated with an airflow through a gripper mechanism of a diverting mechanism over time during a pick operation on a target object; storing the sensed pressure associated with the airflow through the gripper mechanism over time as a pressure sequence associated with the pick operation on the target object; and correlating the pressure sequence with representative pressure sequences associated with corresponding pick quality types to determine whether the pick operation on the target object was successful or not.

Abstract: Using machine learning to recognize variant objects is disclosed, including: identifying an object as a variant of an object type by inputting sensed data associated with the object into a modified machine learning model corresponding to the variant of the object type, wherein the modified machine learning model corresponding to the variant of the object type is generated using a machine learning model corresponding to the object type; and generating a control signal to provide to a sorting device that is configured to perform a sorting operation on the object, wherein the sorting operation on the object is determined based at least in part on the variant of the object type associated with the object.

Abstract: Systems and methods for optical material characterization of waste materials using machine learning are provided. In one embodiment, a system comprises: an imaging device configured to generate image frames an area and target objects within the area; an object characterization processor coupled to the imaging device and comprising Neural Processing Units and a Neural Network Parameter Set. The Neural Network Parameter Set stores learned parameters utilized by the one or more Neural Processing Units for characterizing the one or more target objects. The Neural Processing Units are configured by the Neural Network Parameter Set to detect a presence of a plurality of different materials within the image frames based on a plurality of different features. For a first image frame of the plurality of image frames, the Neural Processing Units outputs material characterization data that identifies which of the plurality of different materials are detected in the first image frame.

Abstract: A material picker assembly is disclosed, including: a connector configured to be attached to an actuator device; and a plurality of picker mechanisms, wherein each picker mechanism includes a suspension element that is configured to absorb impact on the picker mechanism by one or more objects.

Abstract: Systems and methods for sorting recyclable items and other materials are provided. In one embodiment, a system for sorting objects comprises: at least one imaging sensor; a controller comprising a processor and memory storage, wherein the controller receives image data captured by the image sensor; and at least one pusher device coupled to the controller, wherein the at least one pusher device is configured to receive an actuation signal from the controller. The processor is configured to detect objects travelling on a conveyor device and recognize at least one target item traveling on a conveyor device by processing the image data and to determine an expected time when the at least one target item will be located within a diversion path of the pusher device. The controller selectively generates the actuation signal based on whether a sensed object detected in the image data comprise the at least one target item.

Abstract: Using a suction gripper cluster device is disclosed, including: causing airflows to be generated by a plurality of airflow generators of a respective plurality of suction gripper mechanisms included in a suction gripper cluster device comprising a plurality of suction gripper mechanisms, wherein the plurality of airflow generators is configured to cause the airflows to enter respective intake ports of the plurality of suction gripper mechanisms and exit respective outlet ports of the respective plurality of suction gripper mechanisms in response to receiving air at a respective air input port of the respective plurality of suction gripper mechanisms; causing a target object to be captured by the suction gripper cluster device using the airflows; activating a positioning actuator mechanism to position the suction gripper cluster device; and causing the target object to be ejected from the suction gripper cluster device.

Abstract: Techniques for planning object sorting are disclosed, including: receiving a set of current information associated with target objects on a conveyor device; determining a current state of the sorting system, wherein the sorting system comprises an actuator device that is configured to actuate a picker assembly to capture target objects from the conveyor device; determining a sequence of actions to be performed by the actuator device and the picker assembly with respect to one or more target objects based on the set of current information associated with the target objects and the current state of the sorting system; determining a selected subset of actions with respect to an identified target object from the sequence of actions; and sending an instruction to the actuator device to cause the actuator device to perform the selected subset of actions with respect to the identified target object.

Abstract: A bidirectional air conveyor device is disclosed, including: a housing that includes an intake port and an outlet port; a first air input port; a first airflow generator defined within the housing, wherein the first airflow generator is coupled to the first air input port; a second air input port; a second airflow generator defined within the housing, wherein the second airflow generator is coupled to the second air input port; wherein the first airflow generator is configured to cause a first airflow to enter the intake port and exit the outlet port in response to a first supply of air to the first air input port; and wherein the second airflow generator is configured to cause a second airflow to enter the outlet port and exit the intake port in response to a second supply of air to the second air input port.

Abstract: Systems and methods for vacuum extraction for material sorting applications are provided. In one embodiments, a vacuum object sorting system comprises: a vacuum extraction assembly that includes at least one vacuum extractor device having an inlet and an outlet, wherein the at least one vacuum extractor device is configured to convert a controlled compressed air stream into a channeled vacuum airflow entering the inlet and exiting the outlet; and an object recognition device coupled to sorting control logic and electronics, wherein the controlled compressed air stream is controlled in response to a signal generated by the object recognition device; wherein the at least one vacuum extractor device is configured to capture a target object identified by the sorting control logic and electronics utilizing the channeled vacuum airflow, and further utilizing the channeled vacuum airflow, to pass the target object through the inlet and outlet to a deposit location.

Abstract: An efficient material recovery facility is disclosed, including: a first sorting device configured to: process a first instruction to remove a first target item from a set of items; and in response to the first instruction, perform a first sorting action to remove the first target item from the set of items, wherein the set of items excluding at least the first target item is to be transported towards a second sorting device, wherein the second sorting device is associated with a same sorting device type as the first sorting device; and wherein the second sorting device is configured to perform a second sorting action to remove a second target item from the set of items excluding at least the first target item in response to receiving a second instruction to remove the second target item.

Abstract: In one embodiment, a robotic system comprises: a robot comprising a robotic actuator and at least one robotic arm mechanically coupled to the robotic actuator; a suction gripper mechanism that comprises: a linear shaft element; an internal airflow passage within the linear shaft configured to communicate an airflow between an airflow application port at a first end of the linear shaft and a gripping port positioned at an opposing second end of the linear shaft; a suction cup assembly comprising a suction cup element coupled to the gripping port; and an actuator configured to rotate the linear shaft in order to articulate an orientation of the suction cup assembly.

Abstract: Actuating an air conveyor device is disclosed, including: causing an airflow to be generated by an airflow generator of an air conveyor device, wherein the airflow generator is configured to cause the airflow to enter an intake port of the air conveyor device and exit from an outlet port of the air conveyor device in response to receiving air at an air input port of the air conveyor device; causing a target object to be captured by the air conveyor device using the airflow; activating a positioning actuator mechanism to position the air conveyor device; and causing the target object to be ejected from the air conveyor device.

Abstract: Systems and methods for a telescoping suction gripper assembly are provided. In one embodiment, a robotic system comprises: a robot comprising a robotic actuator and at least one robotic arm mechanically coupled to the robotic actuator; a telescoping suction gripper assembly comprising a telescoping member and a suction gripper mechanism, wherein a first end of the telescoping member is coupled to a vacuum supply conduit via a first flexible conduit member and a second end of the telescoping member is coupled to the suction gripper mechanism by a second flexible conduit member, and wherein the suction gripper mechanism is pivotally coupled to the at least one robotic; wherein the telescoping member is configured to adjust in length in response to the at least one robotic arm relocating the suction gripper mechanism from a first position to a second position.

Abstract: Systems and methods for sorting recyclable items and other materials are provided. In one embodiment, a system for sorting objects comprises: at least one imaging sensor; a controller comprising a processor and memory storage, wherein the controller receives image data captured by the image sensor; and at least one pusher device coupled to the controller, wherein the at least one pusher device is configured to receive an actuation signal from the controller. The processor is configured to detect objects travelling on a conveyor device and recognize at least one target item traveling on a conveyor device by processing the image data and to determine an expected time when the at least one target item will be located within a diversion path of the pusher device. The controller selectively generates the actuation signal based on whether a sensed object detected in the image data comprise the at least one target item.

Abstract: In one embodiment, a material sorting system comprises: a suction gripper assembly, the suction gripper comprising: a body assembly that includes: an internal airflow passage configured to communicate an airflow between an airflow application port positioned at a first end of the body assembly and a gripping port positioned at the opposing second end of the body assembly; a cup fitting attached to the gripping port; a suction cup secured to the cup fitting; an attachable filter inserted into the suction cup and fastened to the cup fitting; and a mounting assembly, wherein the mounting assembly includes one or more mounting points for pivotally attaching the suction gripper assembly to a sorting robot of the material sorting system.

Abstract: Systems and methods for vacuum extraction for material sorting applications are provided. In one embodiments, a vacuum object sorting system comprises: a vacuum extraction assembly that includes at least one vacuum extractor device having an inlet and an outlet, wherein the at least one vacuum extractor device is configured to convert a controlled compressed air stream into a channeled vacuum airflow entering the inlet and exiting the outlet; and an object recognition device coupled to sorting control logic and electronics, wherein the controlled compressed air stream is controlled in response to a signal generated by the object recognition device; wherein the at least one vacuum extractor device is configured to capture a target object identified by the sorting control logic and electronics utilizing the channeled vacuum airflow, and further utilizing the channeled vacuum airflow, to pass the target object through the inlet and outlet to a deposit location.