Abstract: The technology relates to a memory insertion apparatus for pushing memory modules into corresponding memory sockets on a circuit board. The memory insertion apparatus may include a frame and an actuation assembly coupled to the frame, and one or more cam assemblies each rotatably coupled to the frame and operatively coupled to the actuation assembly. Each cam assembly may include a central shaft extending in a longitudinal direction, and a plurality of cams each having a tip configured to engage one of the memory modules, the tip extending from the central shaft in a respective radial direction perpendicular to the longitudinal direction. A center of each cam may be offset from centers of adjacent ones of the cams by a pitch distance that is about equal to a pitch distance between centers of adjacent ones of the memory sockets.

Abstract: The technology relates to a memory insertion apparatus for pushing memory modules into corresponding memory sockets on a circuit board. The memory insertion apparatus may include a frame and an actuation assembly coupled to the frame, and one or more cam assemblies each rotatably coupled to the frame and operatively coupled to the actuation assembly. Each cam assembly may include a central shaft extending in a longitudinal direction, and a plurality of cams each having a tip configured to engage one of the memory modules, the tip extending from the central shaft in a respective radial direction perpendicular to the longitudinal direction. A center of each cam may be offset from centers of adjacent ones of the cams by a pitch distance that is about equal to a pitch distance between centers of adjacent ones of the memory sockets.

Abstract: The technology relates to a memory insertion apparatus for pushing memory modules into corresponding memory sockets on a circuit board. The memory insertion apparatus may include a frame and an actuation assembly coupled to the frame, and one or more cam assemblies each rotatably coupled to the frame and operatively coupled to the actuation assembly. Each cam assembly may include a central shaft extending in a longitudinal direction, and a plurality of cams each having a tip configured to engage one of the memory modules, the tip extending from the central shaft in a respective radial direction perpendicular to the longitudinal direction. A center of each cam may be offset from centers of adjacent ones of the cams by a pitch distance that is about equal to a pitch distance between centers of adjacent ones of the memory sockets.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an object feature identification system employed by a robotic are disclosed. In one aspect, a method includes the actions of generating a data reading of a work area by scanning the work area with a sensor device of the robot; identifying, by processing the data reading through a learning engine, a particular component of a plurality of components associated with the work area based on a task to be performed; identifying, with the machine learning engine, a particular feature of the particular component used in a completion of the task; determining, with the machine learning engine, a particular tool of a plurality of tools of the robot that is configured to perform the task; and performing the task with the particular tool and the particular feature of the particular component.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an object feature identification system employed by a robotic are disclosed. In one aspect, a method includes the actions of generating a data reading of a work area by scanning the work area with a sensor device of the robot; identifying, by processing the data reading through a learning engine, a particular component of a plurality of components associated with the work area based on a task to be performed; identifying, with the machine learning engine, a particular feature of the particular component used in a completion of the task; determining, with the machine learning engine, a particular tool of a plurality of tools of the robot that is configured to perform the task; and performing the task with the particular tool and the particular feature of the particular component.

Abstract: A method for friction stir welding is provided. The method may include determining the temperature of one or both parts being welded. The parts may then be heated to a desired temperature and then friction stir welded together. By preheating the parts, the friction required to plasticize the parts during welding may be reduced. Thereby, the rotational speed of the friction stir welding tool may be reduced, and thus the tool life may be extended without decreasing the rate at which welds are created. Additionally, the cooling rate of the weld may be regulated with a thermal control device.

Abstract: A method for controlling friction stir welding is provided. The method may include initiating friction stir welding and determining the position of a friction stir welding tool and at least one part being welded. The method may also include adjusting the position of the friction stir welding tool while friction stir welding based at least in part on the positions of the tool and at least one of the parts. The position of the parts may be determined downstream of the friction stir welding tool in order to prospectively account for the position of the parts. Accordingly, the position of the friction stir welding tool may be dynamically adjusted during friction stir welding to account for part movement. Related systems and computer code are provided.

Abstract: Alignment of two surfaces of two objects in a manufacturing process is achieved by determining a best fit orientation of the two objects with respect to each other using captured images reflected from the two surfaces. An image pattern is projected on a surface of each object, and a reflected image pattern is captured from the surface of each object. A reconstructed surface is determined from the captured reflected image patterns, and the two reconstructed surfaces are superimposed to determine a best fit orientation of the two objects with respect to each other. One or more movable portions of a base are actuated to align the two surfaces to each other to achieve the determined best fit orientation.

Abstract: A method for friction stir welding is provided. The method may include determining the temperature of one or both parts being welded. The parts may then be heated to a desired temperature and then friction stir welded together. By preheating the parts, the friction required to plasticize the parts during welding may be reduced. Thereby, the rotational speed of the friction stir welding tool may be reduced, and thus the tool life may be extended without decreasing the rate at which welds are created. Additionally, the cooling rate of the weld may be regulated with a thermal control device.

Abstract: A method for controlling friction stir welding is provided. The method may include initiating friction stir welding and determining the position of a friction stir welding tool and at least one part being welded. The method may also include adjusting the position of the friction stir welding tool while friction stir welding based at least in part on the positions of the tool and at least one of the parts. The position of the parts may be determined downstream of the friction stir welding tool in order to prospectively account for the position of the parts. Accordingly, the position of the friction stir welding tool may be dynamically adjusted during friction stir welding to account for part movement. Related systems and computer code are provided.

Abstract: Alignment of two surfaces of two objects in a manufacturing process is achieved by determining a best fit orientation of the two objects with respect to each other using captured images reflected from the two surfaces. An image pattern is projected on a surface of each object, and a reflected image pattern is captured from the surface of each object. A reconstructed surface is determined from the captured reflected image patterns, and the two reconstructed surfaces are superimposed to determine a best fit orientation of the two objects with respect to each other. One or more movable portions of a base are actuated to align the two surfaces to each other to achieve the determined best fit orientation.