A robotic system for arranging packages at a destination in a specified arrangement. The robotic system processes incoming packages, stores the packages in a temporary storage area, executes a simulate function to generate or update a simulated stacking plan, determines the occurrence of a palletizing trigger, and places the packages on the pallet according to the simulated stacking plan upon determining the occurrence of the palletizing trigger. The palletizing trigger can be one of a time limit trigger, a uniform layer trigger, a storage capacity trigger, or receiving a placement initiation command.

The present disclosure relates to methods and systems for generating a verified minimum viable range (MVR) of an object. An exposed outer corner and exposed edges of an object may be identified by processing one or more image data. An initial MVR may be generated by identifying opposing parallel edges opposing the exposed edges. The initial MVR may be adjusted, and the adjusted result may be tested to generate a verified MVR.

A control system and method for a robotic palletizer. The control system and method include or are implemented by a home screen displaying a plurality of application icons. The applications each provide a quick access to control features and methods. The control system includes methods and components for planning and/or monitoring a product pallet configuration by the palletizer. Animation and/or other virtual depiction of the palletization is displayed through a graphical user interface for the palletizer. The animation and/or other virtual depiction can illustrate the conveyor palletization before or during the palletization and/or provide an augmented confirmation overlaying a video feed of a palletization of a plurality of products.

Estimating or predicting runnability or end product quality risk level for a pulp or papermaking process is disclosed. The method includes measuring hydrophobicity values of samples originating from a same aqueous process stream. A hydrophobicity measurement signal is produced of measured hydrophobicity values as a function of time. A risk level is calculated for the process. At least one mathematical index is calculated based on the hydrophobicity measurement signal, and optionally based on the amount of particles in the sample, other property of the aqueous stream and/or production data. The mathematical index and optionally the amount of the particles, other property, and/or production data is used as a risk indicator input in the calculation. Based on the risk level calculated for the pulp or papermaking process, the runnability and/or end product quality risk level for the pulp or papermaking process is indicated.

A robot and a robot-based container storage and removal method. The robot comprises: a master control processing unit (110), a pick-and-place mechanism (120) and a marker detection unit (130), wherein according to target storage and removal position information of a target inventory container, the master control processing unit (110) controls a robot body to move to a first horizontal position and controls the pick-and-place mechanism (120) to move to a first height position; when the robot body and the pick-and-place mechanism (120) stop moving, the marker detection unit (130) determines a target pick-and-place marker from a target inventory support to which the target inventory container belongs; and the master control processing unit (110) also calibrates the position of the pick-and-place mechanism (120) according to the position of the target pick-and-place marker, so as to control the calibrated pick-and-place mechanism (120) to perform a storage operation or a removal operation on the target inventory container. By means of the solution, a pick-and-place position of a pick-and-place mechanism (120) of the robot can be precisely positioned and moved, such that the pick-and-place mechanism (120) can quickly and accurately store or remove a target inventory container.

Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include determining a height value associated with a highest object on a pallet; causing a light detection and ranging (LiDAR) sensor to travel to a height based at least in part on the height value; determining whether a detection signal from the LiDAR sensor indicates a first clear status; in response to determining that the detection signal indicates the first clear status, causing a robotic arm to lift the object until the detection signal indicates a blocked status and then a second clear status.

A photographing method for picking or placing, applied includes: obtaining first multi-dimensional image information of a target position in a target shelf; determining, according to the first multi-dimensional image information, whether there is a first item in the target position; and determining a photographing strategy of the photographing module according to a determining result, wherein the photographing strategy includes one of: the photographing module not moving with the handling apparatus in a telescopic direction for continued photographing, the photographing module moving a preset distance along the telescopic direction with the handling apparatus, and performing an operation of starting a solution; the solution includes at least one of stopping photographing, sending a warning signal, and reporting to a server to which the transport robot belongs.

An embodiment of the disclosure provides a warehouse robot control method and apparatus, a robot, and a warehouse system. The method includes: obtaining a container scheduling instruction of a first target container, where the container scheduling instruction includes a container type of the first target container; determining a container pose recognition algorithm according to the container type of the first target container, and recognizing pose information of the first target container based on the container pose recognition algorithm; and controlling the warehouse robot to pick up the first target container according to the pose information. For different types of containers, using corresponding pose recognition algorithms to determine pose information thereof and automatically picking up different types of the containers based on the pose information improve application range and efficiency of automatic pickup of the warehouse robot.

A device that dispenses spacer material is disclosed. The device may be implemented in connection with a robotic palletization/depalletization system. The device may include a mounting hardware configured to mount the device on or adjacent to an end effector of a robotic arm, a communication interface configured to receive a control signal, and an actuator configured to dispense a quantity of spacer material from a supply of spacer material in response to the control signal.

Embodiments of the disclosure provide a box retrieval method and apparatus, a system, a robot, and a storage medium. The method is applied to a warehouse robot, and includes: acquiring a detection image, where the detection image includes an image of a target box and neighboring objects; determining a box spacing between the target box and each neighboring object according to the detection image; and if the box spacing satisfies retrieval conditions for a warehouse robot, retrieving the target box. Automatic detection of the box spacing is achieved with low detection cost and high detection accuracy, and goods is retrieved only when the spacing satisfies conditions, such that goods retrieval safety is increased, and the probability of goods damage and falling down of shelves during a retrieval process is greatly lowered.