PREDICTING NEURON TYPES BASED ON SYNAPTIC CONNECTIVITY GRAPHS

    公开(公告)号:US20210201111A1

    公开(公告)日:2021-07-01

    申请号:US16776579

    申请日:2020-01-30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining an artificial neural network architecture corresponding to a sub-graph of a synaptic connectivity graph. In one aspect, there is provided a method comprising: obtaining data defining a graph representing synaptic connectivity between neurons in a brain of a biological organism; determining, for each node in the graph, a respective set of one or more node features characterizing a structure of the graph relative to the node; identifying a sub-graph of the graph, comprising selecting a proper subset of the nodes in the graph for inclusion in the sub-graph based on the node features of the nodes in the graph; and determining an artificial neural network architecture corresponding to the sub-graph of the graph.

    SAFETY SYSTEM FOR INTEGRATED HUMAN/ROBOTIC ENVIRONMENTS

    公开(公告)号:US20210197382A1

    公开(公告)日:2021-07-01

    申请号:US17182796

    申请日:2021-02-23

    Abstract: Systems and methods are provided for specifying safety rules for robotic devices. A computing device can determine information about any actors present within a predetermined area of an environment. The computing device can determine a safety classification for the predetermined area based on the information. The safety classification can include: a low safety classification if the information indicates zero actors are present within the predetermined area, a medium safety classification if the information indicates any actors are present within the predetermined area all are of a predetermined first type, and a high safety classification if the information indicates at least one actor present within the predetermined area is of a predetermined second type. After determining the safety classification for the predetermined area, the computing device can provide a safety rule for operating within the predetermined area to a robotic device operating in the environment.

    ANALYSIS OF REAL-TIME SOFTWARE
    213.
    发明申请

    公开(公告)号:US20210191840A1

    公开(公告)日:2021-06-24

    申请号:US16724977

    申请日:2019-12-23

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing real-time code analysis. One of the methods includes receiving a request to perform real-time code analysis on source code, wherein the request identifies one or more target source code elements. A plurality of real-time annotation values occurring in the source code for the target source code elements are identified. A call graph is generated for the one or more target source code elements. The call graph is traversed to identify one or more real-time violations, wherein each real-time violation is an instance in the source code that violates one or more real-time safe criteria. An output is provided that identifies one or more of the real-time violations occurring in the source code.

    Methods and systems for establishing and maintaining a pre-build relationship

    公开(公告)号:US11040448B2

    公开(公告)日:2021-06-22

    申请号:US16392761

    申请日:2019-04-24

    Abstract: Described herein are methods and systems to establish a pre-build relationship in a model that specifies a first parameter for a first feature of a structure and a second parameter for a second feature of the structure. In particular, a computing system may receive data specifying a pre-build relationship that defines a build value of the first parameter in terms of a post-build observed value of the second parameter. During production of the structure, the computing system may determine the post-build observed value of the second parameter and, based on the determined post-build observed value, may determine the build value of the first parameter in accordance with the pre-build relationship. After determining the build value, the computing system may then transmit, to a robotic system, an instruction associated with production of the first feature by the robotic system, with that instruction specifying the determined build value of the first parameter.

    Shared Dense Network with Robot Task-Specific Heads

    公开(公告)号:US20210181716A1

    公开(公告)日:2021-06-17

    申请号:US16717498

    申请日:2019-12-17

    Abstract: A method includes receiving image data representing an environment of a robotic device from a camera on the robotic device. The method further includes applying a trained dense network to the image data to generate a set of feature values, where the trained dense network has been trained to accomplish a first robot vision task. The method additionally includes applying a trained task-specific head to the set of feature values to generate a task-specific output to accomplish a second robot vision task, where the trained task-specific head has been trained to accomplish the second robot vision task based on previously generated feature values from the trained dense network, where the second robot vision task is different from the first robot vision task. The method also includes controlling the robotic device to operate in the environment based on the task-specific output generated to accomplish the second robot vision task.

    Space extrapolation for robot task performance

    公开(公告)号:US11027425B1

    公开(公告)日:2021-06-08

    申请号:US16041164

    申请日:2018-07-20

    Inventor: Crystal Chao

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for enabling users to approximately identify a space within an environment inhabited by a plurality of objects that user wishes for a robot to manipulate. In various implementations, an approximation of a space within an environment may be identified based on user input. The actual space within the environment may then be extrapolated based at least in part on the approximation and one or more attributes of the environment. A plurality of objects that are co-present within the space and that are to be manipulated by a robot may be identified. The robot may then be operated to manipulate the identified plurality of objects.

    ROBOT NAVIGATION USING 2D AND 3D PATH PLANNING

    公开(公告)号:US20210162599A1

    公开(公告)日:2021-06-03

    申请号:US17156844

    申请日:2021-01-25

    Inventor: Benjamin Holson

    Abstract: Methods, systems, and apparatus, including computer-readable storage devices, for robot navigation using 2D and 3D path planning. In the disclosed method, a robot accesses map data indicating two-dimensional layout of objects in a space and evaluates candidate paths for the robot to traverse. In response to determining that the candidate paths do not include a collision-free path across the space for a two-dimensional profile of the robot, the robot evaluates a three-dimensional shape of the robot with respect to a three-dimensional shape of an object in the space. Based on the evaluation of the three-dimensional shapes, the robot determines a collision-free path to traverse through the space.

    Method for analyzing and optimizing metabolic networks

    公开(公告)号:US11024403B2

    公开(公告)日:2021-06-01

    申请号:US15876962

    申请日:2018-01-22

    Abstract: A method for analyzing a bipartite graph data structure to condense reaction pathways of a metabolic network is described herein. A cell's metabolic network is structured as a bipartite graph, with molecule nodes representing the molecules within metabolism and edges connecting molecule nodes representing chemical reactions or processes. Molecule nodes within the bipartite graph are categorized according to the number of edges leading into and out of each node. If the structure of the bipartite graph indicates that the molecule node does not contribute to flux value solutions of a mathematical model of the metabolic network, then the node and its connected reaction pathway is blocked or removed from the bipartite graph. Thus the complexity of the bipartite graph may be reduced, and crucial nodes and pathways identified.

    CROP TYPE CLASSIFICATION IN IMAGES
    219.
    发明申请

    公开(公告)号:US20210150209A1

    公开(公告)日:2021-05-20

    申请号:US17162806

    申请日:2021-01-29

    Abstract: In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting one or more crop types growing in each of particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining a crop type classification for each of the particular locations based on the predicted one or more crop types for the respective particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indications of the crop type classification determined for the respective particular locations.

    TWO-CHANNEL INTEGRATED PHOTONIC WAVELENGTH DEMULTIPLEXER

    公开(公告)号:US20210149109A1

    公开(公告)日:2021-05-20

    申请号:US16685473

    申请日:2019-11-15

    Abstract: A two-channel photonic demultiplexer includes an input region to receive a multi-channel optical signal, two output regions, each adapted to receive a corresponding one of two distinct wavelength channels demultiplexed from the multi-channel optical signal, and a dispersive region including a first material and a second material inhomogeneously interspersed to form a plurality of interfaces that collectively structure the dispersive region to optically separate each of the two distinct wavelength channels from the multi-channel optical signal and respectively guide the first distinct wavelength channel to a first output region and the second distinct wavelength channel to the second output region when the input region receives the multi-channel optical signal. At least one of the first material or the second material is structured within the dispersive region to be schematically reproducible by a feature shape with a pre-determined width.

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