Abstract: Systems and methods of repairing tissue are disclosed. Systems and methods may repair an opening through a hip capsule. Systems and methods preferably repair the tissue while minimally encroaching on the tissue immediately behind the repair, such as the hip joint tissues. Some systems may repair the tissue with a suture passer having a needle that slides in axial alignment with the passer and includes a first recess for passing the suture in a first axial direction and a second recess for passing the suture in an opposing axial direction. Some systems may pass a portion of a repair construct in a retrograde direction, placing the repair construct in a preferred arrangement accommodating for the stresses on the tissue.

Abstract: An example finger includes a finger body and a finger tip. The finger tip is configured to be removably mounted to the finger body. The finger includes a locking mechanism configured to secure or couple the finger tip to the finger body.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: An example device includes fingers that are adjustable longitudinally and configured to grip a workpiece. A clamping or locking mechanism can be used to secure the fingers at desired longitudinal positions. In examples, a retaining component is disposed through the fingers and is configured to retain the fingers in lateral directions.

Abstract: The present invention relates to an assembly apparatus for assembling components of spacecraft in space. The assembly apparatus comprises: a core platform (7); and a mobile platform (4) comprising an end effector configured to perform an assembly or manufacturing task. The mobile platform (4) is connected to the core platform (7) by a tether (6a). The core platform comprises a body and a coupling element (15a) connected to and extendable from the body (7) such that the coupling element (15a) may be spaced from the body of the core platform (7). The tether (6a) connects the mobile platform (4) to the body (7) via the coupling element (15a). The assembly apparatus further comprises an actuator configured to vary the length of the tether extending between the coupling element and the mobile platform to control the position of the mobile platform relative to the body of the core platform.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: A computer implemented method to display an industrial installation, which display may also display information about an event or an alarm in the installation. The method includes displaying an image which appears to the viewer to be a three dimensional holographic image including a view of the industrial installation. The image may also include one or more points in three dimensional space and which point or points are each mapped to a corresponding point or position in the industrial installation. A pointing device for actively indicating position on the image reflecting objects or positions in the installation is also described.

Abstract: A computer implemented method to display an industrial installation, which display may also display information about an event or an alarm in the installation. The method includes displaying an image which appears to the viewer to be a three dimensional holographic image including a view of the industrial installation. The image may also include one or more points in three dimensional space and which point or points are each mapped to a corresponding point or position in the industrial installation. A pointing device for actively indicating position on the image reflecting objects or positions in the installation is also described.

Abstract: A roof rail for a vehicle. The roof rail comprises a tubular member having a longitudinal axis, a first end and a second end. The cross-sectional shape and size of the tubular member is substantially constant from the first end to the second end. A portion of the tubular member deviates from the longitudinal axis in the form of at least one twist.