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公开(公告)号：US11960994B2
公开(公告)日：2024-04-16
申请号：US17151506
申请日：2021-01-18
Applicant: SRI International
Inventor： Han-Pang Chiu , Jonathan D. Brookshire , Zachary Seymour , Niluthpol C. Mithun , Supun Samarasekera , Rakesh Kumar , Qiao Wang
Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.
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公开(公告)号：US20230394294A1
公开(公告)日：2023-12-07
申请号：US17151506
申请日：2021-01-18
Applicant: SRI International
Inventor： Han-Pang Chiu , Jonathan D. Brookshire , Zachary Seymour , Niluthpol C. Mithun , Supun Samarasekera , Rakesh Kumar , Qiao Wang
Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.
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公开(公告)号：US11263443B2
公开(公告)日：2022-03-01
申请号：US16868870
申请日：2020-05-07
Applicant: SRI International
Inventor： Jonathan D. Brookshire , Supun Samarasekera , Kshitij Singh Minhas
Abstract: A method, apparatus and system for human skeleton pose estimation includes synchronously capturing images of a human moving through an area from a plurality of different points of view, for each of the plurality of captured images, determining a bounding box that bounds the human in the captured image and identifying pixel locations of the bounding box in the image, for each of the plurality of captured images, determining 2D and single-view 3D skeletons from the pixel locations of the bounding box, determining a first, multi-view 3D skeleton using a combination of the 2D and single-view 3D skeletons, and optimizing the first, multi-view 3D skeleton to determine a final 3D skeleton pose for the human. The method, apparatus and system can further include illuminating the area with structured light during the capturing of the images of the human moving through the area.
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公开(公告)号：US20210019507A1
公开(公告)日：2021-01-21
申请号：US16868870
申请日：2020-05-07
Applicant: SRI International
Inventor： Jonathan D. Brookshire , Supun Samarasekera , Kshitij Singh Minhas
Abstract: A method, apparatus and system for human skeleton pose estimation includes synchronously capturing images of a human moving through an area from a plurality of different points of view, for each of the plurality of captured images, determining a bounding box that bounds the human in the captured image and identifying pixel locations of the bounding box in the image, for each of the plurality of captured images, determining 2D and single-view 3D skeletons from the pixel locations of the bounding box, determining a first, multi-view 3D skeleton using a combination of the 2D and single-view 3D skeletons, and optimizing the first, multi-view 3D skeleton to determine a final 3D skeleton pose for the human. The method, apparatus and system can further include illuminating the area with structured light during the capturing of the images of the human moving through the area.
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