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公开(公告)号：US11348033B2
公开(公告)日：2022-05-31
申请号：US16318667
申请日：2017-07-21
Applicant: SRI International
Abstract: A system comprises one or more observation stations. Each observation station of the one or more observation stations comprises a corresponding set of one or more sensors. Additionally, the system comprises one or more physical machines that implement a computation engine configured to receive first observation data from the one or more observation stations. The computation engine may use the first observation data to train a machine learning system. The computation engine may subsequently use the trained machine learning system to provide feedback regarding an additional instance of the observation subject. The computation engine outputs the feedback.
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公开(公告)号：US11740624B2
公开(公告)日：2023-08-29
申请号：US16639216
申请日：2018-08-17
Applicant: SRI International
Inventor： Bhaskar Ramamurthy , Supun Samarasekera , Thomas Low , Manish Kothari , John Peter Marcotullio , Jonathan Brookshire , Tobenna Arodiogbu , Usman Ghani
CPC classification number: G05D1/0022 , B60W60/001 , G05B17/02 , G05D1/0088 , G05D1/101 , G05D2201/0216
Abstract: A hybrid control system includes a control agent and a control engine. The control engine is configured to install a master plan to the control agent. The master plan includes a plurality of high-level tasks. The control agent is configured to operate according to the master plan to, for each high-level task of the high-level tasks, obtain one or more low-level controls and to perform the one or more low-level controls to realize the high-level task. The control agent is configured to operate according to the master plan to transition between the plurality of high-level tasks thereby causing a seamless transition between operating at least partially autonomously and operating at least partially based on input from the tele-operator, based at least on context for the control agent, to operate at least partially autonomously and at least partially based on input from the tele-operator during execution of the master plan.
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公开(公告)号：US20190266514A1
公开(公告)日：2019-08-29
申请号：US16318667
申请日：2017-07-21
Applicant: SRI International
Abstract: A system comprises one or more observation stations. Each observation station of the one or more observation stations comprises a corresponding set of one or more sensors. Additionally, the system comprises one or more physical machines that implement a computation engine configured to receive first observation data from the one or more observation stations. The computation engine may use the first observation data to train a machine learning system. The computation engine may subsequently use the trained machine learning system to provide feedback regarding an additional instance of the observation subject. The computation engine outputs the feedback.
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公开(公告)号：US20200218253A1
公开(公告)日：2020-07-09
申请号：US16639216
申请日：2018-08-17
Applicant: SRI International
Inventor： Bhaskar Ramamurthy , Supun Samarasekera , Thomas Low , Manish Kothari , John Peter Marcotullio , Jonathan Brookshire , Tobenna Arodiogbu , Usman Ghani
Abstract: A hybrid control system includes a control agent and a control engine. The control engine is configured to install a master plan to the control agent. The master plan includes a plurality of high-level tasks. The control agent is configured to operate according to the master plan to, for each high-level task of the high-level tasks, obtain one or more low-level controls and to perform the one or more low-level controls to realize the high-level task. The control agent is configured to operate according to the master plan to transition between the plurality of high-level tasks thereby causing a seamless transition between operating at least partially autonomously and operating at least partially based on input from the tele-operator, based at least on context for the control agent, to operate at least partially autonomously and at least partially based on input from the tele-operator during execution of the master plan.
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