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The NASA receiver is specifically designed for use in coherent LiDAR systems that leverage high-energy (i.e., > 1mJ) fiber laser transmitters. Within the receiver, an outgoing laser pulse from the high-energy laser transmitter is precisely manipulated using robust dielectric and coated optics including mirrors, waveplates, a beamsplitter, and a beam expander. These components appropriately condition and direct the high-energy light out of the instrument to the atmosphere for measurement. Lower energy atmospheric backscatter that returns to the system is captured, manipulated, and directed using several of the previously noted high-energy compatible bulk optics. The beam splitter redirects the return signal to mirrors and a waveplate ahead of a mode-matching component that couples the signal to a fiber optic cable that is routed to a 50/50 coupler photodetector. The receiver’s hybrid optic design capitalizes on the advantages of both high-energy bulk optics and fiber optics, resulting in order-of-magnitude enhancement in performance, enhanced functionality, and increased flexibility that make it ideal for long-distance or low-backscatter LiDAR applications. The related patent is now available to license. Please note that NASA does not manufacturer products itself for commercial sale.

NASA’s biocybernetic system is a cutting-edge technology designed to cultivate emotional regulation skills. It leverages the concept of biocybernetic adaptation, where the trainee engages with virtual entities, such as characters in VR/AR/MR environments, whose behavior dynamically responds to the trainee's physiological signals. This responsive system provides real-time feedback, incentivizing the trainee to attain a calmer physiological state. The key components of this VR innovation include: · Head-mounted display hardware · Physiological monitoring hardware, tracking heart rate, breathing, sweat, breath, and brain waves · Software, powered by the Biocybernetic Loop (BL) Engine, integrating physiological data into the VR simulation · Character response avatars · Integration of the trainee's biofeedback data with the VR environment This technology relies on two functional elements working in unison to adapt the behavior and appearance of VR/AR/MR characters. Inference of the trainee's emotional state from physiological signals requires the implementation of advanced machine learning and modeling techniques. A pattern comparator stores templates of physiological patterns and continually assesses the proximity of the trainee's real-time physiological activity to the desired patterns. The pattern comparator calculates a closeness score in relation to one or more reference patterns, transmitting this data to the VR/AR/MR environment components. Consequently, the level of threat or cooperation presented by virtual characters is dynamically adjusted in response to the closeness score, creating an immersive and adaptive training experience.