TECHNIQUES OF ROBUST INVERSE DESIGN THAT ACCOUNT FOR MANUFACTURING VARIABILITIES DUE TO OPERATING CONDITIONS

    公开(公告)号:US20210266088A1

    公开(公告)日:2021-08-26

    申请号:US16796660

    申请日:2020-02-20

    Abstract: Embodiments of techniques for inverse design of physical devices are described herein, in the context of generating designs for photonic integrated circuits (including a multi-channel photonic demultiplexer). In some embodiments, an initial design of the physical device is received, and a plurality of sets of operating conditions for fabrication of the physical device are determined. In some embodiments, the performance of the physical device as fabricated under the sets of operating conditions is simulated, and a total performance loss value is backpropagated to determine a gradient to be used to update the initial design. In some embodiments, instead of simulating fabrication of the physical device under the sets of operating conditions, a robustness loss is determined and combined with the performance loss to determine the gradient.

    Systems and methods for determining fabrication loss of segmented designs using paintbrush patterns

    公开(公告)号:US10885262B1

    公开(公告)日:2021-01-05

    申请号:US16796500

    申请日:2020-02-20

    Abstract: In some embodiments, a design verification system is provided that is configured to perform actions for ensuring fabricability of a segmented design. The design verification system searches a proposed segmented design for a paintbrush pattern to determine a positive paintbrush loss, and searches for an inverse paintbrush pattern to determine a negative paintbrush loss. The design verification system combines the positive paintbrush loss and the negative paintbrush loss to obtain a total paintbrush loss that indicates whether or not the proposed segmented design is fabricable. If the total paintbrush loss indicates that the proposed segmented design is not fabricable, the design verification system updates the proposed segmented design based on a gradient of the total paintbrush loss.

    Free-space optical communications network

    公开(公告)号:US10763960B1

    公开(公告)日:2020-09-01

    申请号:US16257677

    申请日:2019-01-25

    Abstract: The disclosure provides for a system that includes a plurality of stations equipped for free-space optical communications (FSOC) in a network and a central control system. At least one station in the plurality of stations includes a wavelength selectable switch, an OEO module, and one or more first processors. The one or more first processors are configured to control the wavelength selectable switch, process an electrical signal that is extracted using the OEO module, and communicate with the central control system. The central control system includes one or more second processors that are configured to receive data regarding FSOC communication conditions at the plurality of stations, determine a path between stations through the network based on the received data, and transmit instructions to the plurality of stations.

    Systems and Methods for Determining Path Confidence for Unmanned Vehicles

    公开(公告)号:US20190042859A1

    公开(公告)日:2019-02-07

    申请号:US15667391

    申请日:2017-08-02

    Abstract: Examples implementations relate to determining path confidence for a vehicle. An example method includes receiving a request for a vehicle to navigate a target location. The method further includes determining a navigation path for the vehicle to traverse a first segment of the target location based on a plurality of prior navigation paths previously determined for traversal of segments similar to the first segment of the target location. The method also includes determining a confidence level associated with the navigation path. Based on the determined confidence level, the method additionally includes selecting a navigation mode for the vehicle from a plurality of navigation modes corresponding to a plurality of levels of remote assistance. The method further includes causing the vehicle to traverse the first segment of the target location using a level of remote assistance corresponding to the selected navigation mode for the vehicle.

    Model for Determining Drop-off Spot at Delivery Location

    公开(公告)号:US20190041852A1

    公开(公告)日:2019-02-07

    申请号:US15667180

    申请日:2017-08-02

    Abstract: An example system includes a delivery vehicle, a sensor connected to the delivery vehicle, and a control system that determines a delivery destination for an object. The control system receives sensor data representing a physical environment of at least a portion of the delivery destination and determines a drop-off spot for the object within the delivery destination by way of an artificial neural network (ANN). The ANN is trained to determine the drop-off spot based on previously-designated drop-off spots within corresponding delivery destinations and includes an input node that receives the sensor data, hidden nodes connected to the input node, and an output node connected to the hidden nodes that provides data indicative of a location of the drop-off spot. The control system additionally causes the delivery vehicle to move to and place the object at the drop-off spot.

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