Abstract: Various embodiments are directed to a method for docking a robotic platform. The method may include receiving a robotic platform onto a ramp of a docking station. The docking station may include the ramp, a roller assembly, a base pad, and a roller backstop assembly. The ramp may have a first side and a second side opposing the first side. The method may further include guiding, by the roller assembly, the robotic platform as the robotic platform is being driven onto ramp such that the robotic platform continues powered travel over the ramp when the robotic platform approaches the ramp within an angle range of 0 and 15 degrees with respect to either of the first and second sides of the ramp. The method may further include receiving, by the roller backstop assembly, the robotic platform from the roller assembly and then docking the robotic platform.

Abstract: Various embodiments are directed to a docking station for a robotic platform. The docking station may include a ramp having a first side and a second side opposing the first side, a base pad, a roller assembly, and a roller backstop assembly. The roller assembly may be coupled to the ramp and the base pad. The roller assembly may be configured to allow a robotic platform being driven towards the ramp to continue powered travel onto the ramp for docking when the robotic platform approaches the ramp within an angle range of 0 and 15 degrees with respect to either of the first and second sides of the ramp. The roller backstop assembly may be coupled to the roller assembly and the base pad. The roller backstop assembly may receive the robotic platform from the roller assembly to dock the robotic platform.

Abstract: Systems and methods for digital pathology in accordance with embodiments of the invention obtain a whole slide image of a microscope slide that includes a registration mark, wherein the registration mark is associated with a coordinate system. The method inputs the whole slide image into a region identification (RI) model to extract features of the whole slide image and generate feature vectors for the extracted features, detects a presence of a region of interest (ROI) based on the feature vectors, determines a set of coordinates of the ROI in the coordinate system, and translates a microscope stage of a microscope holding the microscope slide to a position corresponding to the coordinates of the ROI. The method captures a field of view (FOV) image with the microscope and inputs the FOV image into a grading model to determine a pathology score that indicates a likelihood of a presence of a disease.

Abstract: Various embodiments are directed to facilitating imagery and point-cloud based facility modeling and remote change detection. A computing device may receive collected data for a facility. The collected data may include spatial image data obtained from light detection imaging and ranging systems (LiDAR), multispectral data, and thermal data. The computing device may then analyze, based on software models generated for previously collected data for the facility, the collected data to determine changes in the previously collected data. The computing device may then update the models upon determining changes in the previously collected data. Finally, the computing device may generate an alert based on the updated models when any changes in the previously collected data are above a predetermined threshold corresponding to a current security or operational condition associated with the facility.

Abstract: Various embodiments are directed to a method of utilizing an imaging system for detecting a greenhouse gas such as sulfur hexafluoride. The method may include (1) generating, by a first thermal camera coupled to a robotic platform, a static image of a scene utilizing a first spectral filter for passing wavelengths within an SF6 absorption range, (2) generating, by a second thermal camera coupled to the robotic platform, an additional static image of the scene utilizing a second spectral filter for passing wavelengths outside of the SF6 absorption range, and (3) detecting the presence of SF6 in the scene based, at least in part, on the static image, the additional static image, and a difference between the static image and the additional static image.

Abstract: Various embodiments are directed to an imaging system for detecting a greenhouse gas such as sulfur hexafluoride. The system may include a first thermal camera for generating a static image. The first camera may include an uncooled thermal detector and a first spectral filter in an optical path for passing wavelengths within an absorption range of the greenhouse gas. The system may further include a second thermal camera for generating an additional static image. The second camera may include another uncooled thermal detector and a second spectral filter in another optical path for passing wavelengths outside of the absorption range of the greenhouse gas. Both cameras may be aligned with each other and operative to co-collect long exposure images. The system may further include a robotic platform for moving the cameras to facilitate detection of the greenhouse gas based at least in part on a difference between the static images.

Abstract: Various embodiments are directed to a method for docking a robotic platform. The method may include receiving a robotic platform onto a ramp of a docking station. The docking station may include the ramp, a roller assembly, a base pad, and a roller backstop assembly. The ramp may have a first side and a second side opposing the first side. The method may further include guiding, by the roller assembly, the robotic platform as the robotic platform is being driven onto ramp such that the robotic platform continues powered travel over the ramp when the robotic platform approaches the ramp within an angle range of 0 and 15 degrees with respect to either of the first and second sides of the ramp. The method may further include receiving, by the roller backstop assembly, the robotic platform from the roller assembly and then docking the robotic platform.

Abstract: Various embodiments are directed to a docking station for a robotic platform. The docking station may include a ramp having a first side and a second side opposing the first side, a base pad, a roller assembly, and a roller backstop assembly. The roller assembly may be coupled to the ramp and the base pad. The roller assembly may be configured to allow a robotic platform being driven towards the ramp to continue powered travel onto the ramp for docking when the robotic platform approaches the ramp within an angle range of 0 and 15 degrees with respect to either of the first and second sides of the ramp. The roller backstop assembly may be coupled to the roller assembly and the base pad. The roller backstop assembly may receive the robotic platform from the roller assembly to dock the robotic platform.

Abstract: Disclosed systems and methods for the remote detection of atmospheric gas may include (1) receiving, at a collector, thermal infrared energy from at least one atmospheric column, (2) receiving, at optical subsystems, the thermal infrared energy over optical paths, (3) focusing the thermal infrared energy onto diffraction gratings that disperse the thermal infrared energy at a wavelength within a mid-wavelength infrared (MWIR) spectral region and a wavelength within a long-wavelength infrared (LWIR) spectral region, (4) receiving, at detectors, the thermal infrared energy dispersed from the diffraction gratings within the MWIR spectral region and the LWIR spectral region, (5) determining spectral component data associated with the thermal infrared energy in the MWIR spectral region and the LWIR spectral region, (6) sending the spectral component data to a computing device, and (7) identifying an atmospheric gas based on the spectral component data.

Abstract: Various embodiments are directed to facilitating imagery and point-cloud based facility modeling and remote change detection. A computing device may receive collected data for a facility. The collected data may include spatial image data obtained from light detection imaging and ranging systems (LiDAR), multispectral data, and thermal data. The computing device may then analyze, based on software models generated for previously collected data for the facility, the collected data to determine changes in the previously collected data. The computing device may then update the models upon determining changes in the previously collected data. Finally, the computing device may generate an alert based on the updated models when any changes in the previously collected data are above a predetermined threshold corresponding to a current security or operational condition associated with the facility.

Abstract: Disclosed systems and methods for the remote detection of atmospheric gas may include (1) receiving, at a collector, thermal infrared energy from at least one atmospheric column, (2) receiving, at optical subsystems, the thermal infrared energy over optical paths, (3) focusing the thermal infrared energy onto diffraction gratings that disperse the thermal infrared energy at a wavelength within a mid-wavelength infrared (MWIR) spectral region and a wavelength within a long-wavelength infrared (LWIR) spectral region, (4) receiving, at detectors, the thermal infrared energy dispersed from the diffraction gratings within the MWIR spectral region and the LWIR spectral region, (5) determining spectral component data associated with the thermal infrared energy in the MWIR spectral region and the LWIR spectral region, (6) sending the spectral component data to a computing device, and (7) identifying an atmospheric gas based on the spectral component data.