Abstract: Systems and methods disclosed herein include a robotic arm positioned outside of the vehicle. The robotic arm may include an end effector configured as a cleaning implement for cleaning a surface in the interior of the vehicle. The system may include a first camera configured to determine a position of the vehicle with respect to a reference point. The system may include a second camera configured to scan the interior of the vehicle. The second system may include a first controller configured to create and/or modify a tool path to execute a cleaning operation, based on the scan, and to send instructions to the robotic arm to execute the cleaning operation in accordance with the created and/or modified tool path.

Abstract: A method of determining the position and orientation of a moveable object includes a) connecting a plurality of targets to the object at known points on the object such that the targets will move with the object; b) scanning the surface of the object and at least some of the plurality of targets to obtain target data; c) comparing the scanned target data to at least one known dimension of one of the plurality of targets; and d) if scanned target data matches the at least one known dimension of one of the plurality of targets, mapping known object model data according to the target data to determine the position and orientation of the object.

Abstract: A robotic surface treatment system includes an omnidirectional base vehicle; a mast extending from the base vehicle; an arm extending from the mast and moveable in relation to the mast; a wrist connected to a distal end of the arm; and a surface treatment system extending from the base to the wrist through an inside of the mast, arm and wrist.

Abstract: An adhesive tape application device of a case sealing machine for sealing cases automatically and folding over the end of the adhesive tape to form a grippable non-adhesive tape end portion for easy peeling.

Abstract: A method of determining the position and orientation of a moveable object includes a) connecting a plurality of targets to the object at known points on the object such that the targets will move with the object; b) scanning the surface of the object and at least some of the plurality of targets to obtain target data; c) comparing the scanned target data to at least one known dimension of one of the plurality of targets; and d) if scanned target data matches the at least one known dimension of one of the plurality of targets, mapping known object model data according to the target data to determine the position and orientation of the object.

Abstract: A robotic surface treatment system includes an omnidirectional base vehicle; a mast extending from the base vehicle; an arm extending from the mast and moveable in relation to the mast; a wrist connected to a distal end of the arm; and a surface treatment system extending from the base to the wrist through an inside of the mast, arm and wrist.

Abstract: Disclosed is a coupling assembly for use in a telecommunication enclosure. The coupling assembly comprises an optical coupling mounted within the enclosure, a parking lot adapter, and a first optical fiber connector having a key on its housing. The parking lot adapter is axially aligned with and fitted to a first side of the optical coupling. The first optical fiber connector is inserted into the parking lot adapter and is movable between two stable positions. The two stable positions consist of a connected position and a disconnected position.

Abstract: Disclosed is a coupling assembly for use in a telecommunication enclosure. The coupling assembly comprises an optical coupling mounted within the enclosure, a parking lot adapter, and a first optical fiber connector having a key on its housing. The parking lot adapter is axially aligned with and fitted to a first side of the optical coupling. The first optical fiber connector is inserted into the parking lot adapter and is movable between two stable positions. The two stable positions consist of a connected position and a disconnected position.

Abstract: A fiber organizer tray comprises a generally rectangular or oblong body having a first side and an opposite second side. The first side is configured to route and provide slack storage for a plurality of jacketed cables. The first side includes a winding cable guide that routes multiple jacketed cables a predetermined distance in a manner in which the multiple jacketed cables do not cross over themselves and do not experience a cable bend that violates a minimum bend radius of an optical fiber portion of the jacketed cable. The second side of the organizer tray is configured to route and splice a plurality of the drop cables to a plurality of optical fiber pigtails. The fiber organizer tray can be implemented in a telecommunication enclosure having a distribution management unit and a jacketed cable management unit disposed therein.

Abstract: A method of interactively using a computer to select a sensor combination for analyzing images of a scene in order to distinguish between objects or patterns. Two or more images are acquired, each image from a different sensor. One or more regions of interest (ROIs) are then defined in the scene. A parallel axis plot is then used to display pixel traces of pixels from the ROI, with each axis of the plot representing one of the images. One or more axes may then be constrained, by selecting a range of values on an axis. Pixel traces that satisfy the constraint are illustrated graphically. Further analysis is performed by displaying pixel images of the constrained image, and by performing statistical analysis of the constraint(s).

Abstract: A method of interactively using a computer to select a sensor combination for analyzing images of a scene in order to distinguish between objects or patterns. Two or more images are acquired, each image from a different sensor. One or more regions of interest (ROIs) are then defined in the scene. A parallel axis plot is then used to display pixel traces of pixels from the ROI, with each axis of the plot representing one of the images. One or more axes may then be constrained, by selecting a range of values on an axis. Pixel traces that satisfy the constraint are illustrated graphically. Further analysis is performed by displaying pixel images of the constrained image, and by performing statistical analysis of the constraint(s).