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Hierarchical Task Planning for Multiarm Robot with Multiconstraint

机译:具有多约束的多臂机器人的分层任务计划

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摘要

Multiarm systems become the trends of space robots, for the on-orbit servicing missions are becoming more complex and various. A hierarchical task planning method with multiconstraint for multiarm space robot is presented in this paper. The process of task planning is separated into two hierarchies: mission profile analysis and task node planning. In mission profile analysis, several kinds of primitive tasks and operators are defined. Then, a complex task can be decomposed into a sequence of primitive tasks by using hierarchical task network (HTN) with those primitive tasks and operators. In task node planning, A* algorithm is improved to adapt the continuous motion of manipulator. Then, some of the primitive tasks which cannot be executed directly because of constraints are further decomposed into several task nodes by using improved A* algorithm. Finally, manipulators execute the task by moving from one node to another with a simple path plan algorithm. The feasibility and effectiveness of the proposed task planning method are verified by simulation.
机译:多臂系统成为太空机器人的趋势,因为在轨维修任务变得越来越复杂和多样。提出了一种多约束空间机器人多任务分层任务计划方法。任务计划的过程分为两个层次:任务配置文件分析和任务节点计划。在任务配置文件分析中,定义了几种原始任务和操作员。然后,可以通过使用具有这些原始任务和运算符的分层任务网络(HTN)将复杂的任务分解为一系列原始任务。在任务节点计划中,改进了A *算法以适应机械手的连续运动。然后,通过使用改进的A *算法将一些由于约束而无法直接执行的原始任务进一步分解为几个任务节点。最后,操纵器通过使用简单的路径计划算法从一个节点移动到另一个节点来执行任务。仿真验证了所提任务计划方法的可行性和有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第9期|2508304.1-2508304.17|共17页
  • 作者单位

    Beijing Univ Posts & Telecommun, Sch Automat, 10 Xitucheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, 10 Xitucheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, 10 Xitucheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, 10 Xitucheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, 10 Xitucheng Rd, Beijing 100876, Peoples R China;

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