An object induction system is disclosed for assigning handling parameters to an object. The system includes an analysis system, an association system, and an assignment system. The analysis system includes at least one characteristic perception system for providing perception data regarding an object to be processed. The association system includes an object information database and assigns association data to the object responsive to commonality with of any of the characteristic perception data with any of the characteristic recorded data. The assignment system is for assigning programmable motion device handling parameters to the indicia perception data based on the association data, and includes a workflow management system as well as a separate operational controller.

Manufacturing of a shoe or a portion of a shoe is enhanced by automated placement of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated in an automated manner.

Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

The present disclosure provides a control method of a robotic system. The control method includes: deriving an approach location at which the end effector grips an operation object; deriving a scan location for scanning an identifier of the operation object; and based on the approach location and the scan location, creating or deriving a control sequence to instruct the robot to execute the control sequence. The control sequence includes (1) gripping the operation object from a start location; (2) scanning an identifier of the operation object with a scanner located between the start location and a task location; (3) temporarily releasing the operation object from the end effector and regripping the operation object by the end effector to be shifted, at a shift location, when a predetermined condition is satisfied; and (4) moving the operation object to the task location.

A method for operating a robotic system that includes calculating a base motion plan, wherein the base motion plan includes a sequence of commands or settings, or a combination thereof, that operates a robotic arm and a gripper to transfer a target object from a start location to a task location; receiving a contact measure while executing the base motion plan, wherein the contact measure represents an amount of grip of the gripper on the target object; and generating one or more actuator commands/settings that deviate from the base motion plan when the contact measure fails to satisfy a threshold, wherein the one or more actuator commands/settings thereof are configured to operate the robotic arm, the gripper, or a combination thereof to execute one or more response actions not included in the base motion plan.

Provided are systems and method for automated handling of one or more objects.

Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

Systems and methods for object detection and robotic control or pickup of the detected objects are provided. Systems and methods described herein provide for the determination and adjustment of minimum viable regions on a surface of an object for robotic pickup. Determination of a minimum viable region may increase the accuracy and efficiency of robotic object handling. The minimum viable region may be used to select grasping areas for a movement operation configured to provide supplemental image information for estimating dimensions of a target object.

A control method includes: deriving an approach location at which the end effector grips an operation object; deriving a scan location for scanning an identifier of the operation object; and based on the approach location and the scan location, creating or deriving a control sequence to instruct the robot to execute the control sequence. The control sequence includes (1) gripping the operation object from a start location; (2) scanning an identifier of the operation object with a scanner located between the start location and a task location; (3) temporarily releasing the operation object from the end effector and regripping the operation object by the end effector to be shifted, at a shift location, when a predetermined condition is satisfied; and (4) moving the operation object to the task location.

Systems, apparatuses, and methods for determining item availability are provided. A computer implemented method for determining item availability in a shopping space comprising: receiving a request for an item for purchase from a customer, querying an inventory database to determine whether the item for purchase is in stock, in an event that the item for purchase is not in stock according to the inventory database: determining an out of stock response to present to the customer, in an event that the item for purchase is in stock according the inventory database: instructing a motorized transport unit to travel to a display space in the shopping space corresponding to the item for the purchase, determining whether the item is available in the display space based on information captured by one or more sensors of the motorized transport unit, and in an event that the item for purchase is not available in the display space: determining an item unavailable response to present to the customer.