Abstract: Systems and methods for providing precise robotic operations without the need for special or task-specific components utilize, in one implementation, a spatial adjustment system, physically separate from the robotic manipulator, supports the target workpiece and works in concert with the robotic manipulator to perform tasks with high spatial precision.

Abstract: Systems and methods for providing precise robotic operations without the need for special or task-specific components utilize, in one implementation, a spatial adjustment system, physically separate from the robotic manipulator, supports the target workpiece and works in concert with the robotic manipulator to perform tasks with high spatial precision.

Abstract: Embodiments of the invention disclose a system and a method for determining a nearest neighbor to an input data point on a non-Euclidean manifold. The data points on the non-Euclidean manifold are clustered, projected into Euclidean sub-space nearest to the cluster and mapped from the Euclidean sub-space into a Hamming space such that neighboring data points of the Hamming space corresponds to neighboring data points on the non-Euclidean manifold. The method maps the input data point to the Hamming space corresponding to a particular Euclidean sub-space, wherein the particular Euclidean sub-space is the nearest to the input data point, and selects a data point corresponding to a nearest data point to the input data point in the Hamming space as the nearest neighbor for the input data point on the non-Euclidean manifold.

Abstract: A method and system tracks models and predict object movement in an environment. Sequences of temporally and spatially adjacent events sensed by the set of sensors are linked to form a set of tracklets. Each tracklet has an associated starting and terminating location. The tracklets are used to construct a directed graph including starting nodes, terminating nodes, and, intermediate nodes connected by edges. The intermediate nodes can be split nodes where tracklets diverge onto different tracks, and join nodes where multiple tracklets converge onto a single path. Probabilities are assigned to the edges to model and predict movement of the objects in the environment.

Abstract: Embodiments of the invention disclose a system and a method for determining a nearest neighbor to an input data point on a non-Euclidean manifold. The data points on the non-Euclidean manifold are clustered, projected into Euclidean sub-space nearest to the cluster and mapped from the Euclidean sub-space into a Hamming space such that neighboring data points of the Hamming space corresponds to neighboring data points on the non-Euclidean manifold. The method maps the input data point to the Hamming space corresponding to a particular Euclidean sub-space, wherein the particular Euclidean sub-space is the nearest to the input data point, and selects a data point corresponding to a nearest data point to the input data point in the Hamming space as the nearest neighbor for the input data point on the non-Euclidean manifold.

Abstract: Embodiment of the invention describes a system and a method for positioning an object from a first pose to a second pose. The method displays concurrently a first image and a second image on a display device, wherein the first image and the second image represent respectively the first pose and the second pose of the object. The method updates, in response to a change in a pose of the display device, the second image such that an alignment of the first image and the second image on the display device depends on the change in the pose of the display device, and positions the object from the first pose to the second pose based on the change in the pose of the display device.

Abstract: A method and an apparatus determines a geometry of a scene by projecting one or more output image into the scene, in which a time to project the output image is t1. Input images are acquired of the scene, in which a time to acquire each input image is t2, and in which t1>t2 and in which the input image includes a distinguishable stripe of pixels with an edge due to t1>t2. An amount of distortion of the edge is measured from a straight line to determine a geometry of the scene.

Abstract: Embodiment of the invention describes a system and a method for positioning an object from a first pose to a second pose. The method displays concurrently a first image and a second image on a display device, wherein the first image and the second image represent respectively the first pose and the second pose of the object. The method updates, in response to a change in a pose of the display device, the second image such that an alignment of the first image and the second image on the display device depends on the change in the pose of the display device, and positions the object from the first pose to the second pose based on the change in the pose of the display device.

Abstract: A method detects an object left-behind in a scene by updating a set of background models using a sequence of images acquired of the scene by a camera. Each background model is updated at a different temporal scales ranging from short term to long term. A foreground mask is determined from each background model after the updating for a particular image of the sequence. A motion image is updated from the set of foreground masks. In the motion, image, each pixel has an associated evidence value. The evidence values are compared with a evidence threshold to detect and signal an object left behind in the scene.

Abstract: A method and an apparatus determines a geometry of a scene by projecting one or more output image into the scene, in which a time to project the output image is t1. Input images are acquired of the scene, in which a time to acquire each input image is t2, and in which t1>t2 and in which the input image includes a distinguishable stripe of pixels with an edge due to t1>t2. An amount of distortion of the edge is measured from a straight line to determine a geometry of the scene.

Abstract: A method detects an object left-behind in a scene by updating a set of background models using a sequence of images acquired of the scene by a camera. Each background model is updated at a different temporal scales ranging from short term to long term. A foreground mask is determined from each background model after the updating for a particular image of the sequence. A motion image is updated from the set of foreground masks. In the motion, image, each pixel has an associated evidence value. The evidence values are compared with a evidence threshold to detect and signal an object left behind in the scene.

Abstract: A method and system tracks models and predict object movement in an environment. Sequences of temporally and spatially adjacent events sensed by the set of sensors are linked to form a set of tracklets. Each tracklet has an associated starting and terminating location. The tracklets are used to construct a directed graph including starting nodes, terminating nodes, and, intermediate nodes connected by edges. The intermediate nodes can be split nodes where tracklets diverge onto different tracks, and join nodes where multiple tracklets converge onto a single path. Probabilities are assigned to the edges to model and predict movement of the objects in the environment.

Abstract: A method and system tracks objects using a surveillance database storing events acquired by a set of sensors and sequences of images acquired by a set of cameras. Sequences of temporally and spatially adjacent events sensed by the set of sensors are linked to form a set of tracklets and stored in the database. Each tracklet has endpoints being either a track-start, track-join, tracklet-merge or tracklet-end node. A subset of sensors is selected, and a subset of tracklets associated with the subset of sensors is identified. A single starting tracklet is selected. All sequences of tracklets temporally and spatially adjacent to the starting tracklet are aggregated to construct a tracklet graph. The track-join nodes and the track-split nodes are disambiguated and eliminated from the track graph to determine a track of the object in the environment.

Abstract: A tactile output device including an electro-active polymer layer and first and second sets of coplanar conductors arranged proximate to the layer. The first and second sets of conductors are approximately at right angles to each other, and the conductors in each set are spaced apart and parallel to each other. The conductors can be selected individually to convey current to expand and contract the electro-active polymer in vicinities where the conductors intersect. The selection can be according to pixels in an image to product a three-dimensional contoured surface corresponding to the image.

Abstract: The location of an object in a physical scene is identified with a stereo camera. A virtual surface is identified in the physical scene, and an approximate disparity set is constructed for the virtual surface. A main and a reference image of the scene are acquired by the stereo camera. The reference image is warped according to the disparity set, and subtracted from the main image to determine a set of depth residual values. Pixels having a substantially non-zero residual are identified with a surface of the object not coincident with the virtual surface.

Abstract: The location of an object in a physical scene is identified with a stereo camera. A virtual surface is identified in the physical scene, and an approximate disparity set is constructed for the virtual surface. A main and a reference image of the scene are acquired by the stereo camera. The reference image is warped according to the disparity set, and subtracted from the main image to determine a set of depth residual values. Pixels having a substantially non-zero residual are identified with a surface of the object not coincident with the virtual surface.