Abstract: The disclosed system may include a housing dimensioned to secure various components including at least one physical processor and various sensors. The system may also include a camera mounted to the housing, as well as physical memory with computer-executable instructions that, when executed by the physical processor, cause the physical processor to: acquire images of a surrounding environment using the camera mounted to the housing, identify features of the surrounding environment from the acquired images, generate a map using the features identified from the acquired images, access sensor data generated by the sensors, and determine a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data. Various other methods, apparatuses, and computer-readable media are also disclosed.

Abstract: A temperature sensing device for an induction stove and a method for assembling the temperature sensing device are described. An example temperature sensing device includes a sensor package including one or more sensors, a plunger assembly configured to hold the sensor package, and a support base configured to provide a physical support for the plunger assembly.

Abstract: Head-mounted display assemblies may include a first eyecup and a second eyecup that are configured for respectively positioning a first lens and a second lens in front of intended locations of a user's eyes when the head-mounted display assembly is donned. The first eyecup and the second eyecup may be movable relative to each other to adjust for an interpupillary distance of the user's eyes. A single near-eye display screen may be configured for displaying an image to the user through the first and second eyecups. An enclosure over the single near-eye display screen may include a first transparent component positioned between the first lens and the single near-eye display screen and a second transparent component positioned between the second lens and the single near-eye display screen. Various other methods, devices, systems, and assemblies are also disclosed.

Abstract: An intelligent energy system includes an energy-consuming appliance, a battery module coupled to the appliance, and a bidirectional converter coupled to the appliance and the battery module by a power bus. The battery module is configured to provide power to the appliance. The bidirectional converter converts between alternating current (AC) and direct current (DC) and interfaces with a power infrastructure external to the appliance. The system further includes a control unit communicatively coupled to the battery module, the bidirectional converter, and the appliance. The control unit is configured to determine a charge and discharge schedule for the battery module. The battery module coupled with the bidirectional converter provides uninterrupted power to the appliance, abstracts the power demands of the appliance from local power infrastructure, and allows for greater appliance peak power draw than would otherwise be practical or possible.

Abstract: The disclosed system may include a housing dimensioned to secure various components including at least one physical processor and various sensors. The system may also include a camera mounted to the housing, as well as physical memory with computer-executable instructions that, when executed by the physical processor, cause the physical processor to: acquire images of a surrounding environment using the camera mounted to the housing, identify features of the surrounding environment from the acquired images, generate a map using the features identified from the acquired images, access sensor data generated by the sensors, and determine a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data. Various other methods, apparatuses, and computer-readable media are also disclosed.

Abstract: The disclosed system may include a housing dimensioned to secure various components including at least one physical processor and various sensors. The system may also include a camera mounted to the housing, as well as physical memory with computer-executable instructions that, when executed by the physical processor, cause the physical processor to: acquire images of a surrounding environment using the camera mounted to the housing, identify features of the surrounding environment from the acquired images, generate a map using the features identified from the acquired images, access sensor data generated by the sensors, and determine a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data. Various other methods, apparatuses, and computer-readable media are also disclosed.

Abstract: An intelligent energy system includes an energy-consuming appliance, a battery module coupled to the appliance, and a bidirectional converter coupled to the appliance and the battery module by a power bus. The battery module is configured to provide power to the appliance. The bidirectional converter converts between alternating current (AC) and direct current (DC) and interfaces with a power infrastructure external to the appliance. The system further includes a control unit communicatively coupled to the battery module, the bidirectional converter, and the appliance. The control unit is configured to determine a charge and discharge schedule for the battery module. The battery module coupled with the bidirectional converter provides uninterrupted power to the appliance, abstracts the power demands of the appliance from local power infrastructure, and allows for greater appliance peak power draw than would otherwise be practical or possible.

Abstract: The disclosed system may include a housing dimensioned to secure various components including at least one physical processor and various sensors. The system may also include a camera mounted to the housing, as well as physical memory with computer-executable instructions that, when executed by the physical processor, cause the physical processor to: acquire images of a surrounding environment using the camera mounted to the housing, identify features of the surrounding environment from the acquired images, generate a map using the features identified from the acquired images, access sensor data generated by the sensors, and determine a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data. Various other methods, apparatuses, and computer-readable media are also disclosed.

Abstract: The disclosed head-mounted display assemblies may include a first eyecup and a second eyecup that are configured for respectively positioning a first lens and a second lens in front of intended locations of a user's eyes when the head-mounted display assembly is donned. The first eyecup and the second eyecup may be movable relative to each other to adjust for an interpupillary distance of the user's eyes. A single near-eye display screen may be configured for displaying an image to the user through the first and second eyecups. An enclosure over the single near-eye display screen may include a first transparent component positioned between the first lens and the single near-eye display screen and a second transparent component positioned between the second lens and the single near-eye display screen. Various other methods, devices, systems, and assemblies are also disclosed.

Abstract: In systems and methods for adjusting the position of a headset element (e.g., a display and/or other optical element), coherent light (e.g., a laser beam) is transmitted through a display of a headset to produce a diffraction pattern on a detector, which detects the diffraction pattern. The orientation of the headset element is determined based in part on the detected diffraction pattern. Based on the determined orientation and a target orientation, an adjustment to the orientation of the headset element is determined. The position of the headset element is adjusted based on the determined adjustment. This method may be repeated until the headset element is determined to be correctly oriented.

Abstract: The disclosed head-mounted display assemblies may include a first eyecup and a second eyecup that are configured for respectively positioning a first lens and a second lens in front of intended locations of a user's eyes when the head-mounted display assembly is donned. The first eyecup and the second eyecup may be movable relative to each other to adjust for an interpupillary distance of the user's eyes. A single near-eye display screen may be configured for displaying an image to the user through the first and second eyecups. An enclosure over the single near-eye display screen may include a first transparent component positioned between the first lens and the single near-eye display screen and a second transparent component positioned between the second lens and the single near-eye display screen. Various other methods, devices, systems, and assemblies are also disclosed.

Abstract: A virtual reality (VR) system tracks the location and position of a controller using image sensors on a headset and a controller. The headset and controller provide a first and second view of a user's environment. Using its camera, the headset generates a map of the environment and identifies its location within it. Based headset's location, the VR system generates a simulated world of the environment and displays it to the user. The headset also estimates the location of the controller. Based on the estimated location, the headset sends a portion of the map to the controller. The controller determines its pose using the portion of the map, the image sensors, and additional sensors. The controller sends its pose and an updated portion of the map to the headset. Based on the controller's pose and updated portion of the map, the VR system modifies the content displayed to the user.

Abstract: In systems and methods for adjusting the position of a headset element (e.g., a display and/or other optical element), coherent light (e.g., a laser beam) is transmitted through a display of a headset to produce a diffraction pattern on a detector, which detects the diffraction pattern. The orientation of the headset element is determined based in part on the detected diffraction pattern. Based on the determined orientation and a target orientation, an adjustment to the orientation of the headset element is determined. The position of the headset element is adjusted based on the determined adjustment. This method may be repeated until the headset element is determined to be correctly oriented.

Abstract: An optical evaluation workstation evaluates quality metrics (e.g., optical contrast) of optical elements of a HMD. The workstation includes a test pattern, an optical element feed assembly, a light source, a camera and a control module. The light source backlights the test pattern with diffuse light. The optical element feed assembly receives an optical element of a HMD and places the optical element at a first distance from the test pattern corresponding to a distance between the optics block in the HMD and an exit pupil of the HMD. The camera images the test pattern through the optical element and the camera is positioned at a second distance from the test pattern corresponding to a distance between the exit pupil and an electronic display in the HMD. The control module generates a test report for presentation to a user based on the evaluation of the optical element.

Abstract: A virtual reality (VR) includes a sparse projection system configured to generate a plurality of clusters using one or more diffractive optical elements. Each generated cluster has a unique configuration that corresponds to a unique location in a virtual mapping of a local area. The sparse projection system projects the generated clusters throughout the local area. A VR console receives a series of images of the local area from the imaging device, with at least one image includes at least one cluster. The VR console determines a location of a VR headset within the virtual mapping of the local area based at least in part on a configuration of the at least one cluster included in the series of images. Content is generated based at least in part on the determined location of the VR headset and is provided to the VR headset for presentation.

Abstract: An optical evaluation workstation evaluates quality metrics (e.g., virtual image distance) of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feed assembly configured to receive an eyecup assembly of a head mounted display (HMD), the eyecup assembly comprising an optics block rigidly fixed at a first distance to an electronic display panel. The optical evaluation workstation includes a camera assembly configured to capture a plurality of images of the electronic display panel through the optics block, the camera assembly comprising a pinhole aperture at an exit pupil position and a camera attached to a lens assembly having an adjustable focus. The optical evaluation workstation includes a control module configured to determine one or more virtual image distances of the eyecup assembly using the plurality of images captured by the camera assembly.

Abstract: An apparatus for aligning an eyecup to an electronic display panel of a head-mounted display is presented in this disclosure. The eyecup is coupled to the electronic display panel forming an eyecup assembly. An imaging device captures one or more images of image light projected by the electronic display panel through the eyecup. A calibration controller, interfaced with the electronic display panel and the imaging device, determines physical locations of pixels of the electronic display panel on a sensor of the imaging device based on the captured one or more images. The calibration controller also determines a preferred alignment for presenting images by the electronic display panel based on the determined physical locations of the pixels and a projected location of the eyecup.

Abstract: An optical evaluation workstation evaluates quality metrics (e.g., sharpness, blemishes) of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feeder, a camera, and a control module. The eyecup assembly feeder is configured to receive an eyecup assembly of a HMD, the eyecup assembly comprising an optics block rigidly fixed at a first distance to an electronic display panel. The camera is configured to capture one or more images of the one or more test patterns presented by the electronic display panel through the optics block. The control module is configured to modify at least one image of the one or more images using a transform, and determine a quality metric for the modified at least one image.

Abstract: An optical evaluation workstation evaluates quality metrics (e.g., optical contrast) of optical elements of a HMD. The workstation includes a test pattern, an optical element feed assembly, a light source, a camera and a control module. The light source backlights the test pattern with diffuse light. The optical element feed assembly receives an optical element of a HMD and places the optical element at a first distance from the test pattern corresponding to a distance between the optics block in the HMD and an exit pupil of the HMD. The camera images the test pattern through the optical element and the camera is positioned at a second distance from the test pattern corresponding to a distance between the exit pupil and an electronic display in the HMD. The control module generates a test report for presentation to a user based on the evaluation of the optical element.

Abstract: An optical calibration system is configured to determine camera calibration information of a virtual reality camera. The optical calibration system comprises a light source, a first and a second planar grid, and an optical calibration controller. The light source is configured to backlight the first and the second planar grids. Each planar grid includes a plurality of fiducial markers that are backlit by the light source. The optical calibration controller determines camera calibration information of a virtual reality camera selecting and analyzing a plurality of captured images that include a portion of the first or the second planar grid with fiducial markers backlit.