GEOMETRICALLY GROUNDED LARGE LANGUAGE MODELS FOR ZERO-SHOT HUMAN ACTIVITY FORECASTING IN HUMAN-AWARE TASK PLANNING

    公开(公告)号:US20250094731A1

    公开(公告)日:2025-03-20

    申请号:US18614200

    申请日:2024-03-22

    Abstract: A method includes receiving data from one or more sensors, detecting, from the received data, one or more activities of a person in a space, converting the detected one or more activities into a natural language narration; extracting one or more items from a map corresponding to the space; determining a relevancy score for each of the extracted one or more items based on an output of a language model that receives as input a combination of the narration with a binding sequence; correlating the extracted one or more items with one or more locations on the map based on the determined relevancy for each of the extracted one or more items; and outputting a control signal for controlling a movement of one more devices based on the correlation of the extracted one or more items with the one or more locations on the map.

    ACOUSTIC COLLISION DETECTION AND LOCALIZATION FOR ROBOTIC DEVICES

    公开(公告)号:US20210293918A1

    公开(公告)日:2021-09-23

    申请号:US17084257

    申请日:2020-10-29

    Abstract: A method of collision localization on a robotic device includes obtaining audio signals from a plurality of acoustic sensors spaced apart along the robotic device; identifying, based on a collision being detected, a strongest audio signal; identifying a primary onset time for an acoustic sensor producing the strongest audio signal, the primary onset time being a time at which waves propagating from the collision reach the acoustic sensor producing the strongest audio signal; generating a virtual onset time set, by shifting a calibration manifold, based on the identified primary onset time, the calibration manifold representing relative onset times from evenly spaced marker locations on the robotic device to the plurality of acoustic sensors; determining scores for the marker locations based a standard deviation of elements in the virtual onset time set; and estimating a location of the collision based on a highest score of the determined scores.

    DYNAMIC VISION FILTERING FOR EVENT DETECTION

    公开(公告)号:US20210312189A1

    公开(公告)日:2021-10-07

    申请号:US17129018

    申请日:2020-12-21

    Abstract: A detection system includes a filter and a detector. The filter receives input packets from one or more dynamic vision sensors (DVSs) deployed in an area. The filter reduces the bandwidth of the input packets to produce compressed data packets while maintaining good end-to-end detection capability. The compressed data packets are transmitted to a detector in a low bandwidth transmission. The detector may collect compressed data packets from many filters. The detector determines if an object of interest is represented in the information of the input packets. If an object of interest is present, the detector activates an alarm, sends a notification to a person associated with the area and/or stores an indication in a database.

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