Abstract: Various aspects related to methods, systems, and computer readable media for vision-based obstacle detection on autonomous mobile robots are described herein. A computer-implemented method can include receiving, from an imaging device of an autonomous mobile robot (AMR), at least one image of a physical environment that includes a floorspace, compressing, at a processor, the at least one image to a fixed image size to obtain an encoded image, providing the encoded image to a trained machine learning model, the trained machine learning model configured to return a pixel classification for each pixel of the encoded image that indicates whether the pixel corresponds to unobstructed floorspace or obstructed floorspace, determining at least a portion of a navigation route based on the pixel classification, and directing the AMR to traverse the portion of the navigation route.

Abstract: A compliant sealing structure suitable for sealing a micro-fluid ejection head, methods of sealing a micro-fluid ejection head, ejection heads sealed by the method and structure. The sealing structure includes an elastomeric pad suitable for sealing nozzles of the micro-fluid ejection head. A removable shrink wrap film is applied to the ejection bead and is configured for covering at least a portion of the elastomeric pad and for fixedly holding the elastomeric pad adjacent the nozzles.

Abstract: Methods and apparatuses for applying a protective material to an interconnect associated with a component. One such method involves placing a stencil in close proximity to an interconnect that extends over a cavity. An amount of protective material is placed on the stencil. A wiper is passed across the stencil. The wiper has an angle of attack of less than 50 degrees. At least a desired thickness of protective material is applied to the interconnect.