A new path planning method for Mobile Robots (MR) has been developed andimplemented. On the one hand, based on the shortest path from the start pointto the goal point, this path planner can choose the best moving directions ofthe MR, which helps to reach the target point as soon as possible. On the otherhand, with an intelligent obstacle avoidance, our method can find the targetpoint with the near-shortest path length while avoiding some infinite looptraps of several obstacles in unknown environments. The combination of twoapproaches helps the MR to reach the target point with a very reliablealgorithm. Moreover, by continuous updates of the on-board sensors information,this approach can generate the MRs trajectory both in static and dynamicenvironments. A large number of simulations in some similar studiesenvironments demonstrate the power of the proposed path planning algorithm.
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