任务规划系统作为举世瞩目的高科技技术,已经引起了广泛的关注和应用。目前世界上一些主要国家都在研制任务规划系统,且进展很快。为了更好地推进我国学者对于任务规划系统的研究,对任务规划系统的研究进行了全面综述。主要内容包括任...任务规划系统作为举世瞩目的高科技技术,已经引起了广泛的关注和应用。目前世界上一些主要国家都在研制任务规划系统,且进展很快。为了更好地推进我国学者对于任务规划系统的研究,对任务规划系统的研究进行了全面综述。主要内容包括任务规划系统的发展、应用、主要实现方法及未来发展方向。在应用中,综述了任务规划系统在战场态势评估、无人飞行器、机器人领域的应用。在主要实现方法中,主要描述了数学规划、D*优化算法、A gen t方法和遗传算法四种方法。最后给出了任务规划系统未来发展方向:现代技术的融合、发展战略级任务规划系统及未来社会任务规划系统预研。展开更多
Mission planning was thoroughly studied in the areas of multiple intelligent agent systems,such as multiple unmanned air vehicles,and multiple processor systems.However,it still faces challenges due to the system comp...Mission planning was thoroughly studied in the areas of multiple intelligent agent systems,such as multiple unmanned air vehicles,and multiple processor systems.However,it still faces challenges due to the system complexity,the execution order constraints,and the dynamic environment uncertainty.To address it,a coordinated dynamic mission planning scheme is proposed utilizing the method of the weighted AND/OR tree and the AOE-Network.In the scheme,the mission is decomposed into a time-constraint weighted AND/OR tree,which is converted into an AOE-Network for mission planning.Then,a dynamic planning algorithm is designed which uses task subcontracting and dynamic re-decomposition to coordinate conflicts.The scheme can reduce the task complexity and its execution time by implementing real-time dynamic re-planning.The simulation proves the effectiveness of this approach.展开更多
文摘任务规划系统作为举世瞩目的高科技技术,已经引起了广泛的关注和应用。目前世界上一些主要国家都在研制任务规划系统,且进展很快。为了更好地推进我国学者对于任务规划系统的研究,对任务规划系统的研究进行了全面综述。主要内容包括任务规划系统的发展、应用、主要实现方法及未来发展方向。在应用中,综述了任务规划系统在战场态势评估、无人飞行器、机器人领域的应用。在主要实现方法中,主要描述了数学规划、D*优化算法、A gen t方法和遗传算法四种方法。最后给出了任务规划系统未来发展方向:现代技术的融合、发展战略级任务规划系统及未来社会任务规划系统预研。
基金Projects(61071096,61003233,61073103)supported by the National Natural Science Foundation of ChinaProjects(20100162110012,20110162110042)supported by the Research Fund for the Doctoral Program of Higher Education of China
文摘Mission planning was thoroughly studied in the areas of multiple intelligent agent systems,such as multiple unmanned air vehicles,and multiple processor systems.However,it still faces challenges due to the system complexity,the execution order constraints,and the dynamic environment uncertainty.To address it,a coordinated dynamic mission planning scheme is proposed utilizing the method of the weighted AND/OR tree and the AOE-Network.In the scheme,the mission is decomposed into a time-constraint weighted AND/OR tree,which is converted into an AOE-Network for mission planning.Then,a dynamic planning algorithm is designed which uses task subcontracting and dynamic re-decomposition to coordinate conflicts.The scheme can reduce the task complexity and its execution time by implementing real-time dynamic re-planning.The simulation proves the effectiveness of this approach.
