Abstract: A method includes identifying a sequence of robot configurations associated with processing a plurality of substrates. The method further includes generating motion planning data comprising corresponding velocity data and corresponding acceleration data for each portion of a trajectory associated with the processing of the plurality of substrates. The method further includes causing a robot arm to be actuated based on the motion planning data.

Abstract: Disclosed herein are embodiments of an electrostatic end effector, and methods of manufacturing the same. In one embodiment, an electrostatic end effector comprises a ceramic base, a first electrode layer coupled to the ceramic base, and a second electrode layer coupled to the ceramic base. The electrostatic end effector is configured to generate an electrostatic force upon a substrate responsive to a voltage applied to the first electrode. The electrostatic force upon the substrate may increase the friction force upon the substrate which may allow the end effector to accelerate at faster rates than current technologies allow without the substrate slipping on the end effector.

Abstract: An image processing method for identifying text on production line components obtains an image to be recognized and a standard image for reference and extracts a first text area of the image to be recognized. A second text area of the standard image is obtained, and a text window is extracted based on the second text area. The method further obtains a target text area of the image to be recognized based on the first text area and the text window, and obtains a first set of first text sub-areas, and obtains a second set of second text sub-areas, by dividing the second text area into sub-windows of the text window. The method further marks the image to be recognized as a qualifying image when each first text sub-area of the first set is the same as a corresponding second text sub-area of the second set.

Abstract: An image processing method for identifying text on production line components obtains an image to be recognized and a standard image for reference and extracts a first text area of the image to be recognized. A second text area of the standard image is obtained, and a text window is extracted based on the second text area. The method further obtains a target text area of the image to be recognized based on the first text area and the text window, and obtains a first set of first text sub-areas, and obtains a second set of second text sub-areas, by dividing the second text area into sub-windows of the text window. The method further marks the image to be recognized as a qualifying image when each first text sub-area of the first set is the same as corresponding second text sub-area of the second set.

Abstract: An image stitching method applied to an image stitching device having at least two image capturing units and an operation processing unit includes acquiring at least two images adjacent by each other, detecting an overlapped region of the two adjacent images, compiling statistics of image information about the overlapped region of the two adjacent images, utilizing the image information to compute a compensation function, and adjusting at least one of the two adjacent images according to the image information to make the image information of the two adjacent images into harmony.

Abstract: An image stitching method applied to an image stitching device having at least two image capturing units and an operation processing unit includes acquiring at least two images adjacent by each other, detecting an overlapped region of the two adjacent images, compiling statistics of image information about the overlapped region of the two adjacent images, utilizing the image information to compute a compensation function, and adjusting at least one of the two adjacent images according to the image information to make the image information of the two adjacent images into harmony.