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公开(公告)号：US11531887B1
公开(公告)日：2022-12-20
申请号：US16750381
申请日：2020-01-23
Applicant: Amazon Technologies, Inc.
Inventor： Naveen Sudhakaran Nair , Pragyana K. Mishra
Abstract: Prediction of outcomes of disruptive treatments are enabled utilizing sequenced training of a machine learning model over ordered bins of treatment candidates. Treatment candidates may be assigned to candidate characterization bins with an ordering, and the model may be trained with a sequence of training steps corresponding to the ordering of the candidate characterization bins, in each training step the model having untreated candidate features from a corresponding bin and aggregate metrics from one or more previous steps as input. The predicted outcome for a selected bin may be generated with the trained model having treated candidate features and aggregate metrics from one or more previous steps as input. The predicted outcome may be a counterfactual prediction for a bin with insufficient control candidates, and may represent a nonlinear extrapolation from control data in prior bins in the bin ordering.
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公开(公告)号：US11530052B1
公开(公告)日：2022-12-20
申请号：US16792874
申请日：2020-02-17
Applicant: Amazon Technologies, Inc.
Inventor： David L. Alspaugh , Pragyana K. Mishra , Dipan M. Shah
Abstract: Systems and methods relating to automated handline of aerial vehicles are disclosed. The described systems and methods can include a plurality of robots operating on a continuous, closed-loop track. A plurality of aerial vehicle handling stations can be disposed along the continuous, closed-loop track, and each of the plurality of robots can engage an aerial vehicles and transport it to the aerial vehicle handling station, as needed, in accordance with a workflow associated with the aerial vehicle. The described systems and methods can provide a fully automated system for the ground handling of multiple aerial vehicles simultaneously.
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公开(公告)号：US11514393B1
公开(公告)日：2022-11-29
申请号：US16880748
申请日：2020-05-21
Applicant: Amazon Technologies, Inc.
Inventor： Javier Alonso Lopez , Pragyana K. Mishra , Kenny Xie
Abstract: Disclosed are systems and methods to determine preferred delivery points within a parcel that are available to receive an aerial delivery of an item. For each delivery point a plurality of criteria scores may be determined for various criteria based on a processing of parcel data, image data, and/or sensor data corresponding to the parcel. The criteria may be aerial navigation related criteria or user preference criteria. The criteria scores may then be used to determine a suitability score for each delivery point. In some implementations, a user may specify a preferred delivery point and/or indicate one user criteria as more important than another criteria.
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公开(公告)号：US11263579B1
公开(公告)日：2022-03-01
申请号：US15369536
申请日：2016-12-05
Applicant: Amazon Technologies, Inc.
Inventor： Hilliard Bruce Siegel , Pragyana K. Mishra , Darren Ernest Canavor , Ethan Zane Evans , Tye Michael Brady
Abstract: The present disclosure is directed to a network of autonomous vehicles, such as autonomous ground vehicles (“AGVs”) that deliver items to and/or from a destination location and/or perform a service. For example, a community (e.g., neighborhood, apartment complex) may include a plurality of autonomous vehicles that deliver payloads to different locations (e.g., homes, apartments) within the community for use or consumption. Some of the payloads are community items (e.g., microwave, stove top, cooking utensils) that are shared by members of the community and transferred between locations within the community by autonomous vehicles.
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公开(公告)号：US11151509B1
公开(公告)日：2021-10-19
申请号：US15187679
申请日：2016-06-20
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra
IPC: G06Q10/08
Abstract: Images that depict delivery locations associated with a customer may be captured or obtained. One or more classifiers may be utilized to detect and/or identify scene attributes that are depicted in the images and that are associated with the delivery location. One or more correlations between the scene attributes and delivery attributes associated with the delivery location may be determined and used to generate one or more scores for the delivery location. The correlation(s) and/or the score(s) may be utilized to determine delivery instructions that facilitate the delivery of items and/or packages to the delivery location.
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Patent Agency Ranking
公开(公告)号：US11121859B1
公开(公告)日：2021-09-14
申请号：US16050988
申请日：2018-07-31
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra
Abstract: Systems and techniques are disclosed for an efficient consensus protocol for block commits in a blockchain network. One of the methods includes obtaining, from a system, information indicating occurrence of a particular event, the particular event causing generation, by the entities, of respective block proposals for inclusions in the blockchain network. Attribution information is accessed, the information being generated including information describing the entities interactions with a user associated with the particular event. Incremental values are determined for inclusion in a block proposal associated with the entity. The block proposal is evaluated by remaining entities. The block proposal is included in the blockchain network based on greater than a threshold number of entities approving the block proposal.
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公开(公告)号：US10974848B1
公开(公告)日：2021-04-13
申请号：US16838695
申请日：2020-04-02
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra , Gur Kimchi
Abstract: A vibrometric signature for a vehicle, or a set of one or more frequencies where vibration of the vehicle is naturally observed in the presence of excitation, may be generated and used to make one or more determinations regarding the integrity or suitability of the vehicle for one or more missions. When the vehicle is subjected to excitation over a range of frequencies, images of the vehicle are captured, and power levels of vibrations of the vehicle are calculated based on the images. A vibrometric signature is generated based on the power levels of the vibrations, and compared to vibrometric signatures previously generated for the aerial vehicle, or to vibrometric signatures associated with one or more other vehicles, or anomalies experienced by such other vehicles, to determine whether the vehicle may be cleared for the performance of one or more missions, or whether maintenance or inspections are required.
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公开(公告)号：US10939187B1
公开(公告)日：2021-03-02
申请号：US15234719
申请日：2016-08-11
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
IPC: H04N21/8541 , H04N21/472 , H04N21/81 , H04N21/435 , H04N21/845 , H04N21/235 , H04N21/25 , H04N21/84
Abstract: Disclosed are various examples that relate to providing an alternative viewing experience for video content. A semantic graph corresponding to the content is generated. The semantic graph is traversed and the video content segments corresponding to a selected attribute within the semantic graph are played back in an ordering that can vary from a linear representation of the content.
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公开(公告)号：US10937078B1
公开(公告)日：2021-03-02
申请号：US15885481
申请日：2018-01-31
Applicant: Amazon Technologies, inc.
Inventor： Ivan Barrientos , Pragyana K. Mishra
IPC: G06F7/00 , G06Q30/06 , G06N3/02 , G06F16/903
Abstract: A system is provided for analyzing item description attributes and user profile attributes, and dynamically generating item description content based on the analysis. The system can obtain item descriptions for a particular item from any number of different sources and/or in any number of different formats. The system can process the item descriptions to determine item attributes. The system can also obtain data regarding user profile attributes. The system may dynamically generate item description content for the particular item and user based on analyzing the item attributes and user profile attributes. The item description content may be further tailored to a particular channel of delivery.
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公开(公告)号：US10860977B1
公开(公告)日：2020-12-08
申请号：US15196790
申请日：2016-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra
Abstract: Disclosed are various embodiments for shifting inventory within an inventory network. In a traditional push fulfillment model, items are delivered to customers after orders are placed by customers from a warehouse or fulfillment center through a traditional shipping carrier. Using a pull model as described herein, inventory is shifted throughout an inventory network based upon pull signals generated by sensor networks associated with customers that represent predictions for future orders by customers and the inventory is retrieved by the network node that issues the pull signal.
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