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Seeking a path through the crowd: Robot navigation in unknown dynamic environments with moving obstacles based on an integrated environment representation

机译:在人群中寻找路径:机器人在未知的动态环境中导航,并根据集成的环境表示法移动障碍物

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We present a novel algorithm for collision free navigation of a non-holonomic robot in unknown complex dynamic environments with moving obstacles. Our approach is based on an integrated representation of the information about the environment which does not require to separate obstacles and approximate their shapes by discs or polygons and is very easy to obtain in practice. Moreover, the proposed algorithm does not require any information on the obstacles' velocities. Under our navigation algorithm, the robot efficiently seeks a short path through the crowd of moving or steady obstacles. A mathematically rigorous analysis of the proposed approach is provided. The performance of the algorithm is demonstrated via experiments with a real robot and extensive computer simulations.
机译:我们提出了一种新颖的算法,用于在未知复杂动态环境中移动障碍物的非完整机器人的无碰撞导航。我们的方法基于关于环境的信息的集成表示,该信息不需要通过圆盘或多边形来分离障碍物并近似其形状,并且在实践中非常容易获得。而且,所提出的算法不需要关于障碍物速度的任何信息。根据我们的导航算法,机器人可以有效地通过移动或稳定障碍物的人群寻找一条短路。提供了对所提出方法的严格数学分析。通过使用真实机器人进行的实验和广泛的计算机仿真,证明了算法的性能。

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