Hierarchical Task Planning for Multiarm Robot with Multiconstraint

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Abstract

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.

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Wang, Y., Sun, H., Chen, G., Jia, Q., & Yu, B. (2016). Hierarchical Task Planning for Multiarm Robot with Multiconstraint. Mathematical Problems in Engineering, 2016. https://doi.org/10.1155/2016/2508304

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