OBJECT-AGNOSTIC FAST GRASPING-POINTS ESTIMATION VIA GEOMETRIC-ALGEBRA

    公开(公告)号:US20240416510A1

    公开(公告)日:2024-12-19

    申请号:US18203097

    申请日:2023-05-30

    Abstract: Various aspects of techniques, systems, and use cases for selecting grasping configurations for a robot are disclosed. Geometric primitives are generated to model the robot for grasping and manipulation by the robot. The geometric primitives are combined using various functions to determine which configuration to use. The instantaneous configuration is determined, as well as the forward kinematics and links to determine active geometric primitives of the gripper. The active geometric primitives are used to approximate an x, y, and z coordinate of each point of the primitives, a distance between the point and a grasping target, and an associated surface link. The configurations are ranked based on grasping metrics and one of the configurations selected to use accordingly.

    Obstacle localization based on probabilistic consensus

    公开(公告)号:US11386777B2

    公开(公告)日:2022-07-12

    申请号:US16237919

    申请日:2019-01-02

    Abstract: Various systems and methods for updating a current probability density function. The PDF includes a list of objects within a location. First information is received from a first remote device at a first position within the location. The first information includes a vehicle identification, a first PDF of the objects. Second information is received from a second remote device at a second position within the location. The second information includes a vehicle identification, a second PDF of the objects. A first rank for the first PDF is determined based on locations of the objects in the first PDF compared to locations of the objects in the current PDF. A second rank for the second PDF is determined. The first PDF and the second PDF are combined using the first rank and the second rank into a combined PDF. The current PDF based on the combined PDF.

    HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM

    公开(公告)号:US20240293931A1

    公开(公告)日:2024-09-05

    申请号:US18397441

    申请日:2023-12-27

    CPC classification number: B25J9/161 B25J9/1661 B25J9/1664 B25J9/1669

    Abstract: A system for human-cobot (collaborative robot) ergonomic interaction, including: a communication interface operable to receive sensor data related to human motion; ergonomic assessment processor circuitry operable to evaluate the sensor data to generate a strain score for at least one human joint, wherein the strain score represents a strain level of the at least one human joint based on an integration of motion of the at least one human joint over a period of time; human intent prediction processor circuitry operable to interpret the sensor data to predict an object the human intends to grasp, and to select a destination container for the predicted object; and cobot motion processor circuitry operable to determine a position or orientation for the cobot to place the selected destination container based on the predicted object and the strain score.

    AUTOMATED NETWORK CONTROL SYSTEMS THAT ADAPT NETWORK CONFIGURATIONS BASED ON THE LOCAL NETWORK ENVIRONMENT

    公开(公告)号:US20230224237A1

    公开(公告)日:2023-07-13

    申请号:US18147446

    申请日:2022-12-28

    CPC classification number: H04W24/02 H04L41/16 H04W52/245

    Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

    Methods and apparatus to detect physical changes in an environment

    公开(公告)号:US11699066B2

    公开(公告)日:2023-07-11

    申请号:US16586454

    申请日:2019-09-27

    Abstract: Methods, apparatus, systems and articles of manufacture to detect changes in a physical environment are disclosed. An example apparatus includes a descriptor generator to generate a first descriptor, the descriptor generator including: a chirp producer to emit a chirp into the environment, a chirp recorder to record a response to the chirp from the environment, and a chirp response encoder to generate an encoding of the response to the chirp; a descriptor similarity generator to generate a similarity value, the similarity value to compare the first descriptor to a second descriptor; and a physical change indicator to, in response to the similarity value exceeding a similarity threshold, indicate that a physical change has occurred in the environment.

    SAFETY SYSTEM FOR A VEHICLE
    9.
    发明申请

    公开(公告)号:US20200223443A1

    公开(公告)日:2020-07-16

    申请号:US16830413

    申请日:2020-03-26

    Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

    PROBABILISTIC AUTOCOMPLETE SYSTEM FOR ROBOT PROGRAMMING

    公开(公告)号:US20250001605A1

    公开(公告)日:2025-01-02

    申请号:US18216187

    申请日:2023-06-29

    Abstract: Various aspects of techniques, systems, and use cases may be used for probabilistic automatic determination of an action for a robotic device. A technique may include identifying a current context of a robotic device, determining from the current context, a set of actions performable by the robotic device corresponding to at least one object, the set of actions including one or more affordances generated from a basic skills library for the robotic device, and automatically selecting an action of the set of actions based on an acyclic graph describing action paths. The technique may include outputting control signals that, when executed, cause the robotic device to perform the action to interact with the at least one object.

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