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3D Environmental Risk Identification Using Reinforcement Learning

机译:3D使用加强学习环境风险识别

摘要

Placing an agent within an environment, detecting a first object in a first state by the agent, performing an action to interact with the first object using reinforcement learning by the agent, wherein the action maximizes reward An exemplary method is provided for providing an injury risk assessment comprising the steps of: mapping a first object to a three-dimensional environment, and identifying potential hazards within the three-dimensional environment. Also, an agent communicatively coupled to the sensing device, a communication network communicatively coupled to the agent, a three-dimensional model risk assessment module communicatively coupled to the communication network, a user device communicatively coupled to the three-dimensional model risk assessment module, and An exemplary system for providing an injury risk assessment is provided herein, including a system for identifying an environmental hazard communicatively coupled to a communication network.
机译:将代理放置在环境中,在代理中检测第一状态的第一对象,使用代理通过增强学习来执行与第一对象相互作用的动作,其中动作最大化奖励,提供了用于提供伤害风险的示例性方法 评估包括以下步骤:将第一对象映射到三维环境,并识别三维环境内的潜在危险。 而且,通信地耦合到感测设备的代理,通信地耦合到代理的通信网络,是通信地耦合到通信网络的三维模型风险评估模块,用户设备通信地耦合到三维模型风险评估模块, 本文提供了一种用于提供伤害风险评估的示例性系统,包括用于识别通信地耦合到通信网络的环境危害的系统。

著录项

  • 公开/公告号KR20210133228A

    专利类型

  • 公开/公告日2021-11-05

    原文格式PDF

  • 申请/专利权人 일렉트로닉 케어기버 아이앤씨.;

    申请/专利号KR20217028322

  • 发明设计人 차스코 브라이언 존;

    申请日2020-01-31

  • 分类号G06K9;G01C21;G01C21/20;G06N20;G06N3;G06N5/02;G06N5/04;G06T7/50;G06T7/70;G16H50/30;

  • 国家 KR

  • 入库时间 2022-08-24 22:28:00

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