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机器人动作规划是智能机器人控制系统的一个特别重要而又十分复杂的研究课题。本文在对机器人动作规划进行问题描述的基础上，通过应用解释学习来获取搜索策略，为其提出了一种新的方法。仿真结果表明，该方法是可行且有效的。
Robot motion planning is a particularly important and complicated research topic of intelligent robot control system. Based on the description of robot motion planning problem, this paper presents a new method by using interpretation learning to acquire search strategy. Simulation results show that this method is feasible and effective.