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An improved Artificial Potential Field approach to real-time mobile robot path planning in an unknown environment

机译:一种改进的人工势场方法,用于未知环境中的实时移动机器人路径规划

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This paper deals with the navigation of a mobile robot in an unknown environment. The approach developed is based on the Artificial Potential Field (APF) method in which the target creates a virtual potential that attracts the robot while obstacles create a virtual potential that repels the robot. A new form of repelling potential is proposed in order to reduce oscillations and to avoid conflicts when the target is close to obstacles. A rotational force is integrated as well, allowing for a smoother trajectory around the obstacles. Experiment results show the effectiveness of the proposed approach.
机译:本文涉及在未知环境中移动机器人的导航。开发的方法基于人工势场(APF)方法,其中目标创建吸引机器人的虚拟电势,而障碍物产生排斥机器人的虚拟电势。为了减少振动并避免在目标接近障碍物时发生冲突,提出了一种新的排斥潜力形式。还集成了旋转力,从而使障碍物周围的轨迹更平滑。实验结果表明了该方法的有效性。

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