METHOD FOR TRANSMITTING AN FSOC SUPERVISOR CHANNEL

    公开(公告)号:WO2019209695A1

    公开(公告)日:2019-10-31

    申请号:PCT/US2019/028476

    申请日:2019-04-22

    Abstract: Aspects of the disclosure provide for a method of transmitting state information using free-space optical communication. The method includes using one or more processors (104) of a first communication device (102) to collect state information of the first communication device. A supervisor signal that carries the state information is transmitted from the first communication device along with a beacon beam (20a) in a first solid angle. The supervisor signal is a frequency different from the one or more frequencies of the beacon beam. When a communication link (22a) is established between the first communication device and a second communication device (122), a plurality of data packets is transmitted from the first communication device to the second communication device in a second solid angle smaller than the first solid angle. A subset of the plurality of data packets that do not carry client data carries the state information of the first communication device.

    MODELING THE CHEMICAL COMPOSITION OF A BIOLOGICAL CELL WALL

    公开(公告)号:WO2019190600A1

    公开(公告)日:2019-10-03

    申请号:PCT/US2018/064128

    申请日:2018-12-05

    Abstract: Techniques are described for determining the strain on a cell wall using two models: 1) a short timescale model, describing the relationship between physical properties assumed to be fixed and 2) a long timescale model, describing the dynamic chemical composition of a cell wall. Short term modeling of the physical properties in a cell wall is used to properly understand how physical factors such as osmotic pressure affects the strain on the cell wall, which is in turn used to identify conditions under which a cell wall will cease to function properly or lyse entirely. Although temporally the physical properties which cause cell walls to underperform/lyse can be evaluated under a short time frame, the chemical properties that lead to the physical properties which cause that behavior themselves change over much longer timescales, in a relative sense.

    SEMANTIC MAPPING OF ENVIRONMENTS FOR AUTONOMOUS DEVICES

    公开(公告)号:WO2019161275A1

    公开(公告)日:2019-08-22

    申请号:PCT/US2019/018315

    申请日:2019-02-15

    Abstract: Methods, systems, and apparatus for receiving a reference to an object located in an environment of a robot, accessing mapping data that indicates, for each of a plurality of object instances, respective probabilities of the object instance being located at one or more locations in the environment, wherein the respective probabilities are based at least on an amount of time that has passed since a prior observation of the object instance was made, identifying one or more particular object instances that correspond to the referenced object, determining, based at least on the mapping data, the respective probabilities of the one or more particular object instances being located at the one or more locations in the environment, selecting, based at least on the respective probabilities, a particular location in the environment where the referenced object is most likely located, and directing the robot to navigate to the particular location.

    FISH BIOMASS, SHAPE, AND SIZE DETERMINATION
    64.
    发明申请

    公开(公告)号:WO2019147346A1

    公开(公告)日:2019-08-01

    申请号:PCT/US2018/064008

    申请日:2018-12-05

    Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, and mass of fish are described. A pair of stereo cameras (185) may be utilized to obtain right and left images of fish in a defined area. The right and left images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a three-dimensional (3-D) model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the 3-D model to determine a likely weight of the fish.

    ELECTROENCEPHALOGRAM BIOAMPLIFIER
    65.
    发明申请

    公开(公告)号:WO2019133610A1

    公开(公告)日:2019-07-04

    申请号:PCT/US2018/067506

    申请日:2018-12-26

    Abstract: A bioamplifier for analyzing electroencephalogram (EEG) signals is disclosed. The bioamplifier includes an input terminal for receiving an EEG signal from a plurality of sensors coupled to a user. The bioamplifier also includes an analogue-to-digital converter arranged to receive the EEG signal from the input terminal and convert the EEG signal to a digital EEG signal. A data processing apparatus within the bioamplifier is arranged to receive the digital EEG signal from the analogue-to-digital converter and programmed to process, in real time the digital EEG signal using a first machine learning model to generate a cleaned EEG signal having a higher signal-to-noise ratio than the digital EEG signal. The bioamplifier further includes a power source to provide electrical power to the analogue-to-digital converter and the data processing apparatus. The bioamplifier includes a housing that contains the analogue-to-digital converter, the data processing apparatus, the power source, and the sensor input.

    SHARING LEARNED INFORMATION AMONG ROBOTS
    66.
    发明申请

    公开(公告)号:WO2019133081A1

    公开(公告)日:2019-07-04

    申请号:PCT/US2018/050868

    申请日:2018-09-13

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sharing learned information among robots. In some implementations, a robot obtains sensor data indicating characteristics of an object. The robot determines a classification for the object and generates an embedding for the object using a machine learning model stored by the robot. The robot stores the generated embedding and data indicating the classification for the object. The robot sends the generated embedding and the data indicating the classification to a server system. The robot receives, from the server system, an embedding generated by a second robot and a corresponding classification. The robot stores the received embedding and the corresponding classification in the local cache of the robot. The robot may then use the information in the cache to identify objects.

    MACHINE LEARNING METHODS AND APPARATUS FOR ROBOTIC MANIPULATION AND THAT UTILIZE MULTI-TASK DOMAIN ADAPTATION

    公开(公告)号:WO2019055848A1

    公开(公告)日:2019-03-21

    申请号:PCT/US2018/051175

    申请日:2018-09-14

    Abstract: Training a machine learning model that, once trained, is used in performance of robotic grasping and/or other manipulation task(s) by a robot. The model can be trained using simulated training examples that are based on simulated data that is based on simulated robot(s) attempting simulated manipulations of various simulated objects. At least portions of the model can also be trained based on real training examples that are based on data from real-world physical robots attempting manipulations of various objects. The simulated training examples can be utilized to train the model to predict an output that can be utilized in a particular task – and the real training examples used to adapt at least a portion of the model to the real-world domain can be tailored to a distinct task. In some implementations, domain-adversarial similarity losses are determined during training, and utilized to regularize at least portion(s) of the model.

    BIPARTITE GRAPH STRUCTURE
    68.
    发明申请

    公开(公告)号:WO2019045853A8

    公开(公告)日:2019-03-07

    申请号:PCT/US2018/039129

    申请日:2018-06-22

    Abstract: A bipartite graph structure is utilized to better store data. The bipartite graph structure may be used in a biochemical database to efficiently store a variety of molecules and processes that might occur between the molecules. Molecules are represented as molecule nodes, which may have metadata fields including a molecule name, a molecule type, a molecular formula, a sequence, a molecular charge, a set of molecular properties, and a set of component molecules. Processes operating on the molecules are represented by process nodes, which may have metadata fields including a process name, a set of process roles, a set of process properties, and a set of sub-processes. Edges, called roles, each associate a molecule node with a process node and represent the role the associated molecule plays in the associated process. The roles may contain metadata identifying the role type and the stoichiometry coefficient of the molecule in the process.

    BIPARTITLE GRAPH STRUCTURE
    69.
    发明申请

    公开(公告)号:WO2019045853A1

    公开(公告)日:2019-03-07

    申请号:PCT/US2018/039129

    申请日:2018-06-22

    Abstract: A bipartite graph structure is utilized to better store data. The bipartite graph structure may be used in a biochemical database to efficiently store a variety of molecules and processes that might occur between the molecules. Molecules are represented as molecule nodes, which may have metadata fields including a molecule name, a molecule type, a molecular formula, a sequence, a molecular charge, a set of molecular properties, and a set of component molecules. Processes operating on the molecules are represented by process nodes, which may have metadata fields including a process name, a set of process roles, a set of process properties, and a set of sub-processes. Edges, called roles, each associate a molecule node with a process node and represent the role the associated molecule plays in the associated process. The roles may contain metadata identifying the role type and the stoichiometry coefficient of the molecule in the process.

    SYSTEMS AND METHODS FOR DETERMINING PATH CONFIDENCE FOR UNMANNED VEHICLES

    公开(公告)号:WO2019027733A1

    公开(公告)日:2019-02-07

    申请号:PCT/US2018/043458

    申请日:2018-07-24

    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.

Patent Agency Ranking