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A hybrid fuzzy logic controllers for complex environment

机译:复杂环境的混合模糊逻辑控制器

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摘要

To overcome the complex terrain, a hybrid fuzzy logic controllers is proposed to find multiple targets with smooth path. By combining the searching abilities of these two fuzzy logic controllers, the robot is no longer trapped in a narrow exit, but succeed in follow the wall to the exit and then resume the navigation to the target. Experimental results show that the robot beat conventional fuzzy logic controller method in various challenging terrains, and can detect any narrow exits, which are larger than 1.8 times the robot width.
机译:为了克服复杂的地形,提出了一种混合模糊逻辑控制器来寻找具有平滑路径的多个目标。通过结合这两个模糊逻辑控制器的搜索能力,该机器人不再被困在狭窄的出口中,而是成功地沿着墙壁驶向出口,然后继续导航至目标。实验结果表明,该机器人在各种挑战性地形中均击败了传统的模糊逻辑控制器方法,并且可以检测到任何狭窄出口,该出口大于机器人宽度的1.8倍。

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