在语义层重构自主无人系统:需求、框架与运行机理

Reconstructing Autonomous Unmanned Systems at the Semantic Level:Requirements,Frameworks,and Operation Mechanisms

针对无人系统实现高级任务自主性的问题,提出在语义层重构自主无人系统的技术路线。分析了自主无人系统关键能力需求,阐释了语义重构的内涵、优势和运行机理。自主无人系统的语义重构技术路线强调:通过在语义层重构自主无人系统,实现无人系统任务、环境和系统自身的语义化描述;通过构建知识本体实现领域知识的统一表示和群体信息共享,利用语义知识引擎实现群体认知达到任务协同和能力互操作的目的;利用知识推理和不确定性知识推理实现认知基础上的任务自主规划。通过在语义层重构自主无人系统,将自主无人系统的规划问题上升到认知层面,实现硬件与软件,规划问题与规划方法,人类干预与自主规划等问题的解耦。

Aiming at the problem that unmanned systems can achieve high level task autonomy,the technical route of reconstructing autonomous unmanned systems on semantic layer is proposed.The key capability requirements of autonomous unmanned systems are analyzed,and the connotation,advantages and operation mechanism of semantic reconstruction are explained.By focusing on the technical routs of semantic reconstruction of autonomous unmanned system and reconstructing the autonomous unmanned system on semantic layer,the semantic description of unmanned system task,environment and system itself is realized.The unified representation domain knowledge and sharing of group information are realized by constructing knowledge ontology,and the semantic knowledge engine is used to let group cognition to achieve the purpose of task collaboration and capability interoperability.Knowledge reasoning and uncertain knowledge reasoning are utilized to realize task autonomous planning based on cognition.By reconstructing autonomous unmanned system on the semantic layer,the planning problems of autonomous unmanned system are raised to the cognition layer,the decoupling of software and hardware,planning problems and planning methods,human intervention and autonomous planning and other problems are realized.