A system and method for operating a transport robot to simultaneously grasp and transfer multiple objects is disclosed. The transport robot includes a multi-gripper assembly having an array of addressable vacuum regions each configured to independently provide a vacuum. The robotic system receives image data representative of a group of objects. Individual target objects are identified in the group based on the received image data. Addressable vacuum regions are selected based on the identified target objects. The transport robot is command to cause the selected addressable vacuum regions to simultaneously grasp and transfer multiple target objects.

A method for operating a transport robot includes receiving image data representative of a group of objects. One or more target objects are identified in the group based on the received image data. Addressable vacuum regions are selected based on the identified one or more target objects. The transport robot is command to cause the selected addressable vacuum regions to hold and transport the identified one or more target objects. The transport robot includes a multi-gripper assembly having an array of addressable vacuum regions each configured to independently provide a vacuum. A vision sensor device can capture the image data, which is representative of the target objects adjacent to or held by the multi-gripper assembly.

The invention relates to a computer-implemented method for a cutting system, the cutting system at least comprising a digital cutter and a gripper for picking up cut parts.

Therein, the digital cutter is built for cutting a part of a sheet according to a cut design, the cut part having a specific pathway of its boundary line.

The gripper is built for picking up the cut part from the sheet, wherein the gripper comprises a gripper head and a movement apparatus. Thus, the gripper head is provided with a plurality of degrees of freedom of motorized movement including a variable heading angle (Ψ) and/or variable lateral position (x- and y-position) in a plane parallel to the sheet. The gripper head comprises a plurality of suction spots having known geometric arrangement, said arrangement of suction spots defining a mean grid spacing.

According to the invention, the method comprises carrying out an optimization algorithm for determining a gripping pose in which the cut part is to be gripped by the gripper head. Therein, the optimization algorithm being programmed for maximizing a number of cut-part-facing suction spots coming to lie on the cut part in the gripping pose, wherein the optimization algorithm optimizes over heading angle candidates (Ψ) for the gripping pose within a range extending consistently over at least 90° and/or lateral position candidates for the gripping pose within sub-mean-grid-spacing range

under exploitation of first input data consistently representing the complete specific pathway of the boundary line of the cut part and second input data relating to the known geometric arrangement.

The determined gripping pose will be provided as output data.

The purpose of the present invention is to provide a device for outputting holding detection results by a highly accurate simulation in consideration of parameters related to a holding member. A user enters workpiece information through an input UI unit. A selection control unit executes an automatic selection process of a suction pad based on the workpiece information input through the input UI unit, an automatic selection process of a workpiece physical model, an automatic selection process of a robot, and a confirmation process of a vibration tolerance, and then displays the selection results. The selection control unit determines whether there is a problem with the selection results based on an input instruction from the user.

A method of manipulating boxes includes receiving a minimum box size for a plurality of boxes varying in size located in a walled container. The method also includes dividing a grip area of a gripper into a plurality of zones. The method further includes locating a set of candidate boxes based on an image from a visual sensor. For each zone, the method additionally includes, determining an overlap of a respective zone with one or more neighboring boxes to the set of candidate boxes. The method also includes determining a grasp pose for a target candidate box that avoids one or more walls of the walled container. The method further includes executing the grasp pose to lift the target candidate box by the gripper where the gripper activates each zone of the plurality of zones that does not overlap a respective neighboring box to the target candidate box.

A gripper, which removes blanks from a web of material lying flat, includes gripping elements which can each be actuated separately. The gripping elements are mounted independently of one another in a frame so as to be displaceable perpendicularly to a reference plane parallel to the web of material. The gripping elements are set against the web of material and actuated in a takeover position of the gripper aligned with respect to the blank by means of a control device. In addition to the gripping elements located inside the contour line, there are also other gripping elements adjacent to the blank and located outside the contour line that are set against the material web as downholders. Gripping elements within the contour line of the blank are actuated and retracted from the material web, taking along the blank, before the gripper is lifted off the material web from the takeover position.

The present disclosure generally relates to a robotic gripping system and method that utilizes vacuum suction and finger grasping, wherein the suction and grasping are actuated based on a dynamic collision model. In an exemplary embodiment, the present disclosure is directed to generating collision scenes of a surrounding environment which is used to determine possible collisions in a motion path, and which is used to selectively actuate the vacuum suction and/or finger grasping.

A method of manipulating boxes includes receiving a minimum box size for a plurality of boxes varying in size located in a walled container. The method also includes dividing a grip area of a gripper into a plurality of zones. The method further includes locating a set of candidate boxes based on an image from a visual sensor. For each zone, the method additionally includes, determining an overlap of a respective zone with one or more neighboring boxes to the set of candidate boxes. The method also includes determining a grasp pose for a target candidate box that avoids one or more walls of the walled container. The method further includes executing the grasp pose to lift the target candidate box by the gripper where the gripper activates each zone of the plurality of zones that does not overlap a respective neighboring box to the target candidate box.

A control device comprises a first interface, a second interface, a processor, and a third interface. A first interface is configured to acquire a captured image of an article. A second interface is configured to transmit and receive data to and from an input/output device. A processor is configured to cause the input/output device to display an article image based on the captured image, receive an input of a position and an angle of a grip portion model of a grip portion that grips the article from the input/output device through the second interface, display the grip portion model on the article image, and generate a gripping plan. A third interface configured to transmit the gripping plan to a control unit of a gripping device including the grip portion.

Robotic systems with griping mechanisms, and related systems and methods are disclosed herein. In some embodiments, the robotic system includes a robotic arm and an end-of-arm tool coupled to the robotic arm. The end-of-arm tool can include a housing, a vacuum-gripping component, and a clamping component. The vacuum-gripping component can be operably coupled to a lower surface of the housing to apply a suction force to an upper surface of a target object. The clamping component can include first and second clamping elements. The first clamping element projects at least partially beneath the lower surface of the housing and is movable along a lateral axis to engage a first side surface of the target object. Similarly, the second clamping element projects at least partially beneath the lower surface of the frame and is movable along the lateral axis to engage with a second side surface of the target object.