The present application discloses a robotic control system, and a method and a computer system for controlling a robot. The robotic control system includes a memory and one or more processors coupled to the memory. The memory is configured to store configured to store a model of a robot having a plurality of axes of control including at least a linear axis and one or more rotational axes. The one or more processors are configured to use the model to control the robot to perform a task, including by sending to the robot a set of control signals to cause the robot to move with respect to two or more of said axes of control including at least the linear axis.

The technology is directed to providing pick and place instructions to a robot. Sensor data including an image feed of a picking container in which at least one product is located may be output. An input indicating a selected product including at least one of the products located in the picking container may be received. A representation of the selected product and at least one image of the order container may be output for display. The representation of the product may be scaled relative to the at least one image of the order container. A place input corresponding to the position of the representation of the product at a packing location within the at least one image of the order container may be received and transmitted to a robot control system.

A robotic work cell uses an object separating mechanism to disperse bulk objects into a 2D arrangement on a horizontal surface and uses a vision system to generate pick-up (positional) data and rotational orientation data for each sequentially selected target object of the 2D arrangement. A pick-and-place robot mechanism uses the positional data to pick-up each target object and uses the rotational orientation data to reorientate the target object during transfer to a designated hand-off location. A carousel-type robotic end-tool disposed on a 4-axis object-processing robot mechanism rotates a gripper mechanism around a vertical axis to move the target object from the hand-off location to a designated processing location, where an associated processing device performs a desired process (e.g., label application) on the target object. In one embodiment the gripper mechanism is selectively rotatable around a horizontal axis to facilitate processing on opposing surfaces of the target object.

A method for picking and placing items includes the steps of: providing a picking conveyor transporting items to be picked; providing a placing conveyor to which the items are to be placed; and providing a plurality of robots configured to move the items from pick positions on the picking conveyor to place positions on the placing conveyor. For at least one of the plurality of robots there is defined an actual work area A.sub.ac that fulfils the condition A.sub.ac<A.sub.th−(A.sub.ol+A.sub.ex), wherein A.sub.th is a theoretical work area, A.sub.ol is an overlapping work area and A.sub.ex is an excessive work area of the respective robot. By limiting the actual work area A.sub.ac of the robots more than what is done conventionally, the total workload between the robots in pick and place systems may be balanced.

The present disclosure relates to a robot master control system. The robot master control system includes: a master controller, configured to control at least one dual-robot control system, where each of the least one dual-robot control system includes a first robot, a second robot, and a sub-controller controlling the first robot and the second robot, and the sub-controller is controlled by the master controller. In the present disclosure, multiple robots may be coordinated and comprehensively controlled to grab and move objects. Compared with a single robot, the efficiency of the multiple robots operation is greatly improved. In addition, each dual-robot control system may be individually configured, thereby improving the work efficiency of coordinated work of dual-robot control systems.

According to an embodiment, a picking system having a holder, a controller, and a sensor is provided. The holder holds the object. The controller controls a motion of the holder. The sensor acquires information of the object. A failure detector of the controller detects a failure in a generation of the holding operation plan or a failure in a holding operation on the object by the holder. A determiner of the controller performs a first retry determination of deciding an operation for a retry in a case in which the failure detector detects the failure in the generation of the holding operation plan, and performing a second retry determination of deciding an operation for a retry in a case in which the failure detector detects the failure in a pickup of the object by the holder, the second retry determination being different from the first retry determination.

The present disclosure relates to a pick-and-place apparatus of micro LED chip for chip-repairing of micro LED display, including a nozzle having a capillary form and having a nozzle tip that is smaller than a top size area of the micro LED chip; a pressure adjustment part that applies negative pressure inside the nozzle to adsorb the micro LED chip to the nozzle tip and applies positive pressure inside the nozzle or removes the negative pressure inside the nozzle to mount the micro LED chip adsorbed to the nozzle tip onto a repair pixel; an imaging part that monitors a position and posture of the micro LED chip adsorbed to the nozzle tip in real time; a moving part that moves the nozzle; and a control part that receives image information from the imaging part, and mounts the micro LED chip onto a repair pixel while controlling the pressure adjustment part and the moving part.

Methods for image-based detection of the tops of sample tubes used in an automated diagnostic analysis system may be based on a convolutional neural network to pre-process images of the sample tube tops to intensify the tube top circle edges while suppressing the edge response from other objects that may appear in the image. Edge maps generated by the methods may be used for various image-based sample tube analyses, categorizations, and/or characterizations of the sample tubes to control a robot in relationship to the sample tubes. Image processing and control apparatus configured to carry out the methods are also described, as are other aspects.

The embodiments of the present disclosure provide a polishing head management system and method. The polishing head management system includes: a storage device, a pick-and-place device and a data acquisition device, where the storage device is used to store polishing heads; the pick-and-place device is used to pick a polishing head or place a polishing head into the storage device; the data acquisition device is connected with the storage device and the pick-and-place device, and is used to record at least one management cycle of the polishing head.

A picking facility is realized that can shorten the time required to transfer an article from a first support body to a second support body. Of a plurality of articles 50 supported by the first support body 51, the article 50 located at the highest position and the article 50 whose upper face T1 is present in a range of a set distance D downward from the upper face T1 of the article 50 located at the highest position are set as transfer-target articles 50A, and the control device performs a selection control to preferentially select, from the transfer-target articles 50A, a transfer-target article 50A in the normal orientation SC, and a transfer control to control the transfer device so as to transfer the transfer-target article 50A selected through the selection control from the first support body 51 to the second support body.