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1.发明授权公开(公告)号：US10766136B1
公开(公告)日：2020-09-08
申请号：US15803610
申请日：2017-11-03
Applicant: Amazon Technologies, Inc.
Inventor： Brandon William Porter , Leonardo Ruggiero Bachega , Brian C. Beckman , Benjamin Lev Snyder , Michael Vogelsong , Corrinne Yu
Abstract: A machine learning system builds and uses computer models for identifying how to evaluate the level of success reflected in a recorded observation of a task. Such computer models may be used to generate a policy for controlling a robotic system performing the task. The computer models can also be used to evaluate robotic task performance and provide feedback for recalibrating the robotic control policy.
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公开(公告)号：US10792810B1
公开(公告)日：2020-10-06
申请号：US15842707
申请日：2017-12-14
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , Leonardo Ruggiero Bachega , Brandon William Porter , Benjamin Lev Snyder , Michael Vogelsong , Corrinne Yu
Abstract: A machine learning system builds and uses computer models for controlling robotic performance of a task. Such computer models may be first trained using feedback on computer simulations of the robot performing the task, and then refined using feedback on real-world trials of the robot performing the task. Some examples of the computer models can be trained to automatically evaluate robotic task performance and provide the feedback. This feedback can be used by a machine learning system, for example an evolution strategies system or reinforcement learning system, to generate and refine the controller.
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公开(公告)号：US11024184B1
公开(公告)日：2021-06-01
申请号：US16747414
申请日：2020-01-20
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , John Clark Coonley Duksta , Gur Kimchi , Corrinne Yu
Abstract: Disclosed are systems and methods for reducing the amount of messaging between aerial vehicles and between controllers of aerial vehicles and simplifying aerial vehicle traffic management. In one implementation, a large service area, such as the United States, may be separated into a series of hierarchal regions. Rather than sending notifications to all agents (e.g., aerial vehicles, controllers) in the service area, each agent may subscribe to one or more regions of the hierarchal regions and only receive messages intended for the subscribed regions. In one example, as discussed below, messages for a particular region are only sent to agents subscribed to that region. Other agents within the larger service area do not receive the messages as they may not be relevant to those agents.
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公开(公告)号：US10800040B1
公开(公告)日：2020-10-13
申请号：US15842737
申请日：2017-12-14
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , Leonardo Ruggiero Bachega , Brandon William Porter , Benjamin Lev Snyder , Michael Vogelsong , Corrinne Yu
IPC: B25J9/16
Abstract: A machine learning system builds and uses computer models for controlling robotic performance of a task. Such computer models may be first trained using feedback on computer simulations of the robot performing the task, and then refined using feedback on real-world trials of the robot performing the task. Some examples of the computer models can be trained to automatically evaluate robotic task performance and provide the feedback. This feedback can be used by a machine learning system, for example an evolution strategies system or reinforcement learning system, to generate and refine the controller.
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Patent Agency Ranking
5.发明授权公开(公告)号：US10766137B1
公开(公告)日：2020-09-08
申请号：US15803621
申请日：2017-11-03
Applicant: Amazon Technologies, Inc.
Inventor： Brandon William Porter , Leonardo Ruggiero Bachega , Brian C. Beckman , Benjamin Lev Snyder , Michael Vogelsong , Corrinne Yu
Abstract: A machine learning system builds and uses computer models for identifying how to evaluate the level of success reflected in a recorded observation of a task. Such computer models may be used to generate a policy for controlling a robotic system performing the task. The computer models can also be used to evaluate robotic task performance and provide feedback for recalibrating the robotic control policy.
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公开(公告)号：US11584008B1
公开(公告)日：2023-02-21
申请号：US17067525
申请日：2020-10-09
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , Leonardo Ruggiero Bachega , Brandon William Porter , Benjamin Lev Snyder , Michael Vogelsong , Corrinne Yu
IPC: B25J9/16
Abstract: A machine learning system builds and uses computer models for controlling robotic performance of a task. Such computer models may be first trained using feedback on computer simulations of the robotic system performing the task, and then refined using feedback on real-world trials of the robot performing the task. Some examples of the computer models can be trained to automatically evaluate robotic task performance and provide the feedback. This feedback can be used by a machine learning system, for example an evolution strategies system or reinforcement learning system, to generate and refine the controller.
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公开(公告)号：US10593218B1
公开(公告)日：2020-03-17
申请号：US16522557
申请日：2019-07-25
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , John Clark Coonley Duksta , Gur Kimchi , Corrinne Yu
Abstract: Disclosed are systems and methods for reducing the amount of messaging between aerial vehicles and between controllers of aerial vehicles and simplifying aerial vehicle traffic management. In one implementation, a large service area, such as the United States, may be separated into a series of hierarchal regions. Rather than sending notifications to all agents (e.g., aerial vehicles, controllers) in the service area, each agent may subscribe to one or more regions of the hierarchal regions and only receive messages intended for the subscribed regions. In one example, as discussed below, messages for a particular region are only sent to agents subscribed to that region. Other agents within the larger service area do not receive the messages as they may not be relevant to those agents.
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公开(公告)号：US10403154B1
公开(公告)日：2019-09-03
申请号：US15277880
申请日：2016-09-27
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , John Clark Coonley Duksta , Gur Kimchi , Corrinne Yu
Abstract: Disclosed are systems and methods for reducing the amount of messaging between aerial vehicles and between controllers of aerial vehicles and simplifying aerial vehicle traffic management. In one implementation, a large service area, such as the United States, may be separated into a series of hierarchal regions. Rather than sending notifications to all agents (e.g., aerial vehicles, controllers) in the service area, each agent may subscribe to one or more regions of the hierarchal regions and only receive messages intended for the subscribed regions. In one example, as discussed below, messages for a particular region are only sent to agents subscribed to that region. Other agents within the larger service area do not receive the messages as they may not be relevant to those agents.
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公开(公告)号：US10089885B1
公开(公告)日：2018-10-02
申请号：US15277885
申请日：2016-09-27
Applicant: Amazon Technologies, Inc.
Inventor： Brian C. Beckman , John Clark Coonley Duksta , Gur Kimchi , Corrinne Yu
IPC: G08G5/00
Abstract: Disclosed are systems and methods for storing path data for all vehicles of a service area in a path data store and representing each path with a unique hash value, generated based on the path data. Rather than controllers and/or aerial vehicles exchanging the full path data for each path, a common hash function may be used to generate unique hash values for each path and the unique hash values may be exchanged and used to lookup the full path data.
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