人类知识嵌入方法与配电检测智能操作机器人作业方法
By combining preference-based optimization algorithms and supervised modules, and utilizing radial basis functions and quadratic programming optimization processes, the problem of embedding human knowledge into intelligent operating robot systems is solved, improving task execution quality and generalization ability while reducing optimization complexity.
CN117697737BActive Publication Date: 2026-07-17GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
- Filing Date
- 2023-11-24
- Publication Date
- 2026-07-17
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Figure CN117697737B_ABST
Abstract
本发明涉及人机协作与人工智能应用技术领域，具体涉及一种人类知识嵌入方法与配电检测智能操作机器人作业方法，在迭代求解最优偏好参数向量的过程中，通过监督模块获取用户对智能设备根据偏好参数向量所执行任务的满意度，并根据满意度更新偏好参数向量。配电检测智能操作机器人作业方法，所述配电检测智能操作机器人通过本发明的人类知识嵌入方法获取人类知识进行作业。本发明为智能操作机器人系统提供具有操作人员的专业知识，即模拟人类的知识。通过非线性规划技术降低了优化过程的复杂度。
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