Path planning provides the optimal collision free path for unmanned platform in the environment with obstacles. The path planning for underwater positioning gives the optimal path with the highest positioning accuracy，which is very important to improve the work efficiency of the unmanned underwater platform. The traditional path planning of unmanned underwater platform is mainly based on artificial potential field method，ant colony method，genetic algorithm，etc. In these algorithms，the obstacle avoidance problem is mainly considered， but the load task is not fully considered，so the task execution efficiency is low. Especially for underwater positioning tasks，since the positioning accuracy is greatly affected by the route，it is necessary to optimize the positioning accuracy. To solve this problem，combining the artificial potential field method and the localization precision analysis，this paper proposes an unmanned underwater platform path planning method driven by localization precision optimization，which realizes the consideration of both the obstacle avoidance ability and the localization task ability.
