Examples provide a system for decanting items from a set of cases into a set of storage totes in preparation for induction into an automated tote storage device. A set of robotic decanting devices includes at least one robotic de-palletizing device configured to remove a selected case comprising a set of items from a pallet at a de-palletizing station. A stationary robotic case opener device opens each case as it moves along a conveyor device. A set of sensor devices scans cases and/or contents of cases to identify each item removed from each case. A stationary robotic picker device removes each item from each case and places each item into an appropriate destination tote. A robotic tote transfer device moves the destination tote to an induction point of the storage device. A decant manager component updates inventory to include items placed into each tote inducted into the storage device.

Systems and methods for reconfigurable, fixtureless manufacturing are provided. Material handling robots grasp and move parts within an assembly area to adjoin one another in a predetermined orientation. While the parts remain grasped and suspended within the assembly area, out of contact with any fixtures, work surfaces, jigs, and locators, a machine vision system performs an alignment scan to determine locations of datums on the parts which are transmitted to a controller for comparison against stored virtual datums for a subassembly comprising the joined parts. The location of the datums are transmitted to a joining robot which joins the parts to form the subassembly. The machine vision system performs an inspection scan of the datums on the parts after joining.

An arrangement for the assembly and wiring of electrical components in switchgear construction, the arrangement comprising a robot with an end effector designed as a gripper, a mounting plate holding device, with which a mounting plate is held in a mounting position with respect to the robot, and a component supply in the access area of the robot, via which components to be mounted on the mounting plate are provided for removal by the robot, wherein a controller of the robot has machine data for controlling the robot including position data for the arrangement of components on a mounting plane of a mounting plate to be equipped, wherein the robot has an optical imaging system which is adapted to detect an orientation of a mounting plate with respect to the robot, the controller of the robot being adapted to provide the position data with an offset representing the orientation of the mounting plate with respect to the robot as a function of the detected orientation. A corresponding method is further described.

A method for retrieving content stored in a warehouse, the method may include: maintaining first content in boxes of a lowest shelf of a storage unit of the warehouse, while maintaining in boxes of higher shelves of the storage unit second content that is of less interest than the first content; accessing the boxes of the lowest shelf and providing the boxes to interfacing units, by a first robot; accessing the boxes of the higher shelves and providing the boxes to the interfacing units, by a second robot; wherein the first robot, when positioned at a lower position, is lower than a height of the lowest shelf; and wherein the second robot is higher than the height of the lowest shelf.

The present disclosure provides is a method and device for accurately estimating a pose of a charging socket of an electric vehicle regardless of a shape of the charging socket, so that an electric vehicle charging robot may precisely move a charging connector toward the charging socket of the electric vehicle and couple the charging connector to the charging socket. According to an aspect of an exemplary embodiment, a method of estimating the pose of the charging socket of an electric vehicle includes: acquiring an RGB image and a depth map of the charging socket; detecting a keypoint of the charging socket based on the RGB image; deriving a first estimated pose of the charging socket based on the depth map; and deriving a second estimated pose of the charging socket based on the keypoint of the charging socket and the first estimated pose.

A system for installing a solar panel may include a first end-of-arm assembly tool coupled to a first robotic arm and part of a first assembly robot and a second end-of-arm assembly tool coupled to a second robotic arm and part of a second assembly robot. The first and the second end-of-arm assembly tools have different tooling and perform different functions to assembly solar panels to support structure. The first assembly robot and the second assembly robot may be located on autonomous and non-autonomous vehicles and the various components can be operated by a control system based on operation instructions received from a neural network.

Examples provide a system for system for customized item decanting. A robotic picker device is configured to remove a selected item from a selected case in an open configuration on a conveyor device. A decan manager, implemented on a processor, is configured to identify a destination tote in a set of totes for placement of the selected item, The robotic picker device places the selected item into the destination tote and the decant manager analyzes sensor data and item data associated with the selected item to confirm an identification of the selected item placed into the destination tote for inventory update

A program generation apparatus according to one or more embodiments may extract, from a series of motions defined in a motion program, a motion to be corrected based on a difference in attribute between a first component indicated as a target of a component change and a second component to replace the first component, and generate a new motion program by correcting a command value of the extracted motion to compensate for the difference in the attribute.

A system for monitoring alignment of a second component relative to a first component includes a camera, and a controller including a processor and a nontransitory memory. The controller is configured to receive a first captured image from the camera when the second component is in a predetermined position relative to the first component, receive a selection of a region of interest (ROI) in the first captured image, identify a visible feature of the second component within the ROI of the first captured image, receive captured images from the camera during a subsequent operation, identify a second captured image when the second component is expected to be in the predetermined position relative to the first component, and determine if the second component is in the predetermined position relative to the first component based on the second captured image and the identified visible feature of the first captured image.

A system and method for operating a robotic system to place objects into containers that have support walls is disclosed. The robotic system may detect an unexpected condition associated with a container during or before a real-time operation. Accordingly, the robotic system may dynamically adjust an existing packing plan based on detecting the unexpected condition.