基于本体的无人系统任务规划研究综述

Review on ontology-based task planning for unmanned systems

作战知识是提高无人系统的自主作战能力的重要因素。如何系统规范地存储和表示作战知识,使无人系统能够根据高层任务指令,自主完成任务规划,并基于不断更新的战场知识进行重规划和智能决策,是一个新的研究领域。首先,通过对任务规划领域概念、规划方法和知识表示方法的梳理,提出了基于本体的任务规划框架。然后,总结了本体在机器人、无人系统、军事任务规划等领域的应用情况,分析了当前研究的特点和不足,并提出了该领域的重要研究方向。最后,针对构建无人系统任务规划本体时应遵循的原则和需要关注的关键能力指标进行了论述。

Operational knowledge is an important factor to improve the autonomous operational capability of unmanned systems. How to store and represent operational knowledge systematically and normatively, so that unmanned systems can autonomously complete mission planning according to the high-level task instructions, and carry out task planning and intelligent decision making based on constantly updated battlefield knowledge, is a new research field. Firstly, an ontology-based task planning framework is proposed by summarizing the concept, planning method, and knowledge representation method of task planning domain. Then, the application of ontology in robot, unmanned system, military mission planning, and other fields is summarized. The characteristics and shortcomings of current research are analyzed. And the important research direction of this problem is proposed. Finally, the principles that should be followed and the key capabilities that should be paid attention to when constructing the task planning ontology of unmanned system are discussed.