实验结果表明，基于神经网络的导航界面能够很好地实现远程人员分派的导航任务。

Experimental result shows that the neural network based interface can well realize the(robot's) navigation task assigned by the remote operator.

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算法可根据网络环境的变化动态调整任务分派方案，更适合于实际的应用环境。

The algorithm is suitable for the applied environment owing to its dynamic adjustment of the task assignment according to the changes of network.

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层次任务网络具有任务描述和分解、任务分派、任务完成的能力以及约束机制和冲突解决机制，可以高效地对复杂问题进行规划。

HTN (Hierarchical task network) planning has the power of representing and decomposing task network as well dispatching the subtasks, and also can accomplish the tasks network.

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